Day1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nature reviews genetics > Journal Clubs 에서 데이터 가져오기\n",
    "response = requests.get(\n",
    "    'https://www.nature.com/nrg/articles?searchType=journalSearch&sort=PubDate&type=journal-club&page=1'\n",
    "    )\n",
    "bs = BeautifulSoup(response.text, 'lxml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
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       "<section class=\"u-mb-48 u-mt-48\" data-track-component=\"journal clubs grid\" id=\"new-article-list\">\n",
       "<div class=\"u-container\">\n",
       "<ul class=\"app-article-list-row\">\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00585-x\" itemprop=\"url\">Understanding soft sweeps: a signature of rapid adaptation</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Nandita Garud recalls two seminal papers by Hermisson and Pennings that provide a framework for understanding when adaptation should be gradual versus rapid.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Nandita R. Garud</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-17\" itemprop=\"datePublished\">17 Feb 2023</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00578-w\" itemprop=\"url\">Regulatory promoter architectures in the hands of thermodynamic modelling</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Julio Collado-Vides recalls two 2005 publications that provide a conceptual framework based on a statistical thermodynamics approach to quantitatively model the regulatory activity at promoters subject to regulation by multiple transcription factors.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Julio Collado-Vides</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-06\" itemprop=\"datePublished\">06 Feb 2023</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00582-0\" itemprop=\"url\">Chromatin organization in red triangles</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>This journal club by Elisa Oricchio highlights two studies published in 2012, which used chromatin conformation capture methods to detect the formation of self-interacting chromatin regions, known as topologically associating domains (TADs).</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Elisa Oricchio</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-02\" itemprop=\"datePublished\">02 Feb 2023</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00583-z\" itemprop=\"url\">How Hi-C ignited the era of 3D genome biology</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Magda Bienko highlights a landmark paper by Lieberman-Aiden et al., which in 2009 reported the development of high-throughput chromosome conformation capture (Hi-C), revolutionizing the field of 3D genome biology.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Magda Bienko</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-02\" itemprop=\"datePublished\">02 Feb 2023</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00577-x\" itemprop=\"url\">Stem cell-derived organoid models: defying the Hayflick limit</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>In this Journal club, Meritxell Huch recalls a dogma postulated by Hayflick in 1961, that the capacity for propagating primary epithelial cells with normal ploidy is limited — a theory that persisted until the advent of organoid cultures.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Meritxell Huch</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-01-25\" itemprop=\"datePublished\">25 Jan 2023</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00573-7\" itemprop=\"url\">Advances of aneuploidy research in the maternal germline</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Sérgio Pena discusses a 2019 study by Gruhn et al., which showed that meiotic chromosome segregation errors originating in oocytes determine the curve of female fertility in humans.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Sergio D. J. Pena</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-01-12\" itemprop=\"datePublished\">12 Jan 2023</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00575-z\" itemprop=\"url\">Down memory lane — unravelling the puzzle of gene regulation</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Selene Fernandez-Valverde recalls a seminal publication by Jacob and Monod to showcase how thoughtful reasoning and extrapolation of limited observations can provide meaningful insights into complex systems.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Selene L. Fernandez-Valverde</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-01-12\" itemprop=\"datePublished\">12 Jan 2023</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00563-9\" itemprop=\"url\">What’s my age again?</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Riccardo Marioni discusses how the publication of Horvath’s epigenetic clock has affected research into ageing, rejuvenation and epigenetic epidemiology.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Riccardo E. Marioni</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-12-06\" itemprop=\"datePublished\">06 Dec 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00561-x\" itemprop=\"url\">The Neanderthal inside us</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Luis Saraiva recalls a 1997 paper by Krings et al., which reports the sequencing of mitochondrial Neanderthal DNA extracted from a 40,000-year-old bone, enabling the direct study of the relationship between ancient and modern humans.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Luis R. Saraiva</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-12-05\" itemprop=\"datePublished\">05 Dec 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00560-y\" itemprop=\"url\">Live long &amp; prosper: evidence of evolutionary forces on lifespan</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>In this Journal Club, Morgan Levine discusses a publication by Rose and Charlesworth that provided direct evidence of the impact of natural selection on differential ageing rates.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Morgan Levine</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-12-02\" itemprop=\"datePublished\">02 Dec 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00547-9\" itemprop=\"url\">The mutation rate as an evolving trait</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Guojie Zhang discusses a seminal paper by Alfred H. Sturtevant, in which he concluded based on his observations in fruitflies that the mutation rate is an evolving parameter.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Guojie Zhang</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-10-19\" itemprop=\"datePublished\">19 Oct 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00538-w\" itemprop=\"url\">The gene variant that helped put Latinxs in the 1000 genomes project</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>In this Journal Club article, María Ávila-Arcos discusses a paper on a medically relevant genetic variant that was found exclusively in Indigenous populations from the Americas. She describes how this work served as inspiration for the inclusion of more diverse populations in the 1000 Genomes Project.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">María C. Ávila-Arcos</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-10-05\" itemprop=\"datePublished\">05 Oct 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00518-0\" itemprop=\"url\">Dynamic control of the meiotic recombination landscape</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Steiner highlights a study by Protacio et al., which has identified molecular mechanisms underlying the plasticity of meiotic recombination in <i>Schizosaccharomyces pombe</i>.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Walter Steiner</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-07-11\" itemprop=\"datePublished\">11 Jul 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00508-2\" itemprop=\"url\">Stochastic transitions as a major source of cancer heterogeneity</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>In this Journal Club, Itay Tirosh highlights a 2011 publication by Gupta et al., which showed that cells undergo frequent stochastic transitions between distinct states in breast cancer cell lines.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Itay Tirosh</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-05-27\" itemprop=\"datePublished\">27 May 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00500-w\" itemprop=\"url\">Genomic outbreak surveillance in resource-poor settings</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Lillian Musila highlights a paper by Quick et al., which reported the use of portable nanopore sequencing for on-site, real-time genomic surveillance during the 2014–2016 Ebola virus epidemic.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Lillian Musila</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-05-16\" itemprop=\"datePublished\">16 May 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00496-3\" itemprop=\"url\">Variability exposes hidden buffering in the network specifying intestinal cell fate</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Elizabeth Mason recalls a seminal study by Raj et al., who used single-molecule approaches to expose principles governing how genes in a network cooperate to buffer perturbation while maintaining essential cellular functions.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Elizabeth Mason</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-05-10\" itemprop=\"datePublished\">10 May 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00492-7\" itemprop=\"url\">First glimpse of enhancers in gene regulation</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>Dimple Notani highlights a 1981 paper by Banerji et al. that describes the discovery of viral enhancer elements and that continues to shape her research today.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Dimple Notani</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-04-27\" itemprop=\"datePublished\">27 Apr 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00488-3\" itemprop=\"url\">New mutations predict clinical manifestation of complex traits</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>In this Journal Club, Ambroise Wonkam describes how whole-exome sequencing of genetically diverse populations of African ancestry can provide insights into both complex and Mendelian disease.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Ambroise Wonkam</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-04-14\" itemprop=\"datePublished\">14 Apr 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00482-9\" itemprop=\"url\">An evolving hypothesis in autoimmune disease genetics</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>In this Journal Club, Yukinori Okada recalls a 1987 publication that introduced a simple conceptual framework, the shared epitope hypothesis, to explain the genetic risk of rheumatoid arthritis conferred by <i>HLA-DRB1</i> alleles.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Yukinori Okada</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-03-31\" itemprop=\"datePublished\">31 Mar 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "<li class=\"app-article-list-row__item\">\n",
       "<div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       "<article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       "<div class=\"c-card__layout u-full-height\">\n",
       "<div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       "<h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00485-6\" itemprop=\"url\">Retrotransposons: still mobile in humans</a>\n",
       "</h3>\n",
       "<div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       "<p>In this Journal Club article, Geoff Faulkner discusses how a ground-breaking study of LINE-1 mobility in human genomes demonstrated not just a role in disease but also molecular details of the mechanisms of retrotransposition.</p>\n",
       "</div>\n",
       "<ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       "<li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Geoffrey J. Faulkner</span></li>\n",
       "</ul>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       "<span class=\"c-meta__type\">Journal Club</span>\n",
       "</span>\n",
       "<time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-03-31\" itemprop=\"datePublished\">31 Mar 2022</time>\n",
       "</div>\n",
       "</article>\n",
       "</div>\n",
       "</li>\n",
       "</ul>\n",
       "</div>\n",
       "</section>\n",
       "<div class=\"u-container u-mb-48\">\n",
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       "[<ul class=\"c-facet-expander__list\">\n",
       " <li class=\"c-facet-expander__list-item\">\n",
       " <a class=\"c-facet-expander__link\" data-track=\"click\" data-track-action=\"clear facets\" data-track-label=\"link\" href=\"?\">All</a>\n",
       " </li>\n",
       " <li class=\"c-facet-expander__list-item\">\n",
       " <span>Journal Club (33)</span>\n",
       " </li>\n",
       " </ul>,\n",
       " <ul class=\"c-facet-expander__list\">\n",
       " <li class=\"c-facet-expander__list-item\">\n",
       " <span>All</span>\n",
       " </li>\n",
       " <li class=\"c-facet-expander__list-item\">\n",
       " <a class=\"c-facet-expander__link\" data-track=\"click\" data-track-action=\"select facet\" data-track-label=\"link\" href=\"?type=journal-club&amp;year=2023\">2023 (7)</a>\n",
       " </li>\n",
       " <li class=\"c-facet-expander__list-item\">\n",
       " <a class=\"c-facet-expander__link\" data-track=\"click\" data-track-action=\"select facet\" data-track-label=\"link\" href=\"?type=journal-club&amp;year=2022\">2022 (18)</a>\n",
       " </li>\n",
       " <li class=\"c-facet-expander__list-item\">\n",
       " <a class=\"c-facet-expander__link\" data-track=\"click\" data-track-action=\"select facet\" data-track-label=\"link\" href=\"?type=journal-club&amp;year=2021\">2021 (8)</a>\n",
       " </li>\n",
       " </ul>,\n",
       " <ul class=\"app-article-list-row\">\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00585-x\" itemprop=\"url\">Understanding soft sweeps: a signature of rapid adaptation</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Nandita Garud recalls two seminal papers by Hermisson and Pennings that provide a framework for understanding when adaptation should be gradual versus rapid.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Nandita R. Garud</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-17\" itemprop=\"datePublished\">17 Feb 2023</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00578-w\" itemprop=\"url\">Regulatory promoter architectures in the hands of thermodynamic modelling</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Julio Collado-Vides recalls two 2005 publications that provide a conceptual framework based on a statistical thermodynamics approach to quantitatively model the regulatory activity at promoters subject to regulation by multiple transcription factors.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Julio Collado-Vides</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-06\" itemprop=\"datePublished\">06 Feb 2023</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00582-0\" itemprop=\"url\">Chromatin organization in red triangles</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>This journal club by Elisa Oricchio highlights two studies published in 2012, which used chromatin conformation capture methods to detect the formation of self-interacting chromatin regions, known as topologically associating domains (TADs).</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Elisa Oricchio</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-02\" itemprop=\"datePublished\">02 Feb 2023</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00583-z\" itemprop=\"url\">How Hi-C ignited the era of 3D genome biology</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Magda Bienko highlights a landmark paper by Lieberman-Aiden et al., which in 2009 reported the development of high-throughput chromosome conformation capture (Hi-C), revolutionizing the field of 3D genome biology.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Magda Bienko</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-02-02\" itemprop=\"datePublished\">02 Feb 2023</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00577-x\" itemprop=\"url\">Stem cell-derived organoid models: defying the Hayflick limit</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>In this Journal club, Meritxell Huch recalls a dogma postulated by Hayflick in 1961, that the capacity for propagating primary epithelial cells with normal ploidy is limited — a theory that persisted until the advent of organoid cultures.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Meritxell Huch</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-01-25\" itemprop=\"datePublished\">25 Jan 2023</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00573-7\" itemprop=\"url\">Advances of aneuploidy research in the maternal germline</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Sérgio Pena discusses a 2019 study by Gruhn et al., which showed that meiotic chromosome segregation errors originating in oocytes determine the curve of female fertility in humans.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Sergio D. J. Pena</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-01-12\" itemprop=\"datePublished\">12 Jan 2023</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00575-z\" itemprop=\"url\">Down memory lane — unravelling the puzzle of gene regulation</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Selene Fernandez-Valverde recalls a seminal publication by Jacob and Monod to showcase how thoughtful reasoning and extrapolation of limited observations can provide meaningful insights into complex systems.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Selene L. Fernandez-Valverde</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2023-01-12\" itemprop=\"datePublished\">12 Jan 2023</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00563-9\" itemprop=\"url\">What’s my age again?</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Riccardo Marioni discusses how the publication of Horvath’s epigenetic clock has affected research into ageing, rejuvenation and epigenetic epidemiology.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Riccardo E. Marioni</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-12-06\" itemprop=\"datePublished\">06 Dec 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00561-x\" itemprop=\"url\">The Neanderthal inside us</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Luis Saraiva recalls a 1997 paper by Krings et al., which reports the sequencing of mitochondrial Neanderthal DNA extracted from a 40,000-year-old bone, enabling the direct study of the relationship between ancient and modern humans.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Luis R. Saraiva</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-12-05\" itemprop=\"datePublished\">05 Dec 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00560-y\" itemprop=\"url\">Live long &amp; prosper: evidence of evolutionary forces on lifespan</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>In this Journal Club, Morgan Levine discusses a publication by Rose and Charlesworth that provided direct evidence of the impact of natural selection on differential ageing rates.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Morgan Levine</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-12-02\" itemprop=\"datePublished\">02 Dec 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00547-9\" itemprop=\"url\">The mutation rate as an evolving trait</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Guojie Zhang discusses a seminal paper by Alfred H. Sturtevant, in which he concluded based on his observations in fruitflies that the mutation rate is an evolving parameter.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Guojie Zhang</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-10-19\" itemprop=\"datePublished\">19 Oct 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00538-w\" itemprop=\"url\">The gene variant that helped put Latinxs in the 1000 genomes project</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>In this Journal Club article, María Ávila-Arcos discusses a paper on a medically relevant genetic variant that was found exclusively in Indigenous populations from the Americas. She describes how this work served as inspiration for the inclusion of more diverse populations in the 1000 Genomes Project.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">María C. Ávila-Arcos</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-10-05\" itemprop=\"datePublished\">05 Oct 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00518-0\" itemprop=\"url\">Dynamic control of the meiotic recombination landscape</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Steiner highlights a study by Protacio et al., which has identified molecular mechanisms underlying the plasticity of meiotic recombination in <i>Schizosaccharomyces pombe</i>.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Walter Steiner</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-07-11\" itemprop=\"datePublished\">11 Jul 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00508-2\" itemprop=\"url\">Stochastic transitions as a major source of cancer heterogeneity</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>In this Journal Club, Itay Tirosh highlights a 2011 publication by Gupta et al., which showed that cells undergo frequent stochastic transitions between distinct states in breast cancer cell lines.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Itay Tirosh</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-05-27\" itemprop=\"datePublished\">27 May 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00500-w\" itemprop=\"url\">Genomic outbreak surveillance in resource-poor settings</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Lillian Musila highlights a paper by Quick et al., which reported the use of portable nanopore sequencing for on-site, real-time genomic surveillance during the 2014–2016 Ebola virus epidemic.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Lillian Musila</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-05-16\" itemprop=\"datePublished\">16 May 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00496-3\" itemprop=\"url\">Variability exposes hidden buffering in the network specifying intestinal cell fate</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Elizabeth Mason recalls a seminal study by Raj et al., who used single-molecule approaches to expose principles governing how genes in a network cooperate to buffer perturbation while maintaining essential cellular functions.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Elizabeth Mason</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-05-10\" itemprop=\"datePublished\">10 May 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00492-7\" itemprop=\"url\">First glimpse of enhancers in gene regulation</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>Dimple Notani highlights a 1981 paper by Banerji et al. that describes the discovery of viral enhancer elements and that continues to shape her research today.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Dimple Notani</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-04-27\" itemprop=\"datePublished\">27 Apr 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00488-3\" itemprop=\"url\">New mutations predict clinical manifestation of complex traits</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>In this Journal Club, Ambroise Wonkam describes how whole-exome sequencing of genetically diverse populations of African ancestry can provide insights into both complex and Mendelian disease.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Ambroise Wonkam</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-04-14\" itemprop=\"datePublished\">14 Apr 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00482-9\" itemprop=\"url\">An evolving hypothesis in autoimmune disease genetics</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>In this Journal Club, Yukinori Okada recalls a 1987 publication that introduced a simple conceptual framework, the shared epitope hypothesis, to explain the genetic risk of rheumatoid arthritis conferred by <i>HLA-DRB1</i> alleles.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Yukinori Okada</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-03-31\" itemprop=\"datePublished\">31 Mar 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " <li class=\"app-article-list-row__item\">\n",
       " <div class=\"u-full-height\" data-native-ad-placement=\"false\">\n",
       " <article class=\"u-full-height c-card c-card--flush\" itemscope=\"\" itemtype=\"http://schema.org/ScholarlyArticle\">\n",
       " <div class=\"c-card__layout u-full-height\">\n",
       " <div class=\"c-card__body u-display-flex u-flex-direction-column\">\n",
       " <h3 class=\"c-card__title\" itemprop=\"name headline\">\n",
       " <a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-022-00485-6\" itemprop=\"url\">Retrotransposons: still mobile in humans</a>\n",
       " </h3>\n",
       " <div class=\"c-card__summary u-mb-16 u-hide-sm-max\" data-test=\"article-description\" itemprop=\"description\">\n",
       " <p>In this Journal Club article, Geoff Faulkner discusses how a ground-breaking study of LINE-1 mobility in human genomes demonstrated not just a role in disease but also molecular details of the mechanisms of retrotransposition.</p>\n",
       " </div>\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Geoffrey J. Faulkner</span></li>\n",
       " </ul>\n",
       " </div>\n",
       " </div>\n",
       " <div class=\"c-card__section c-meta\"><span class=\"c-meta__item c-meta__item--block-at-lg\" data-test=\"article.type\">\n",
       " <span class=\"c-meta__type\">Journal Club</span>\n",
       " </span>\n",
       " <time class=\"c-meta__item c-meta__item--block-at-lg\" datetime=\"2022-03-31\" itemprop=\"datePublished\">31 Mar 2022</time>\n",
       " </div>\n",
       " </article>\n",
       " </div>\n",
       " </li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Nandita R. Garud</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Julio Collado-Vides</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Elisa Oricchio</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Magda Bienko</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Meritxell Huch</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Sergio D. J. Pena</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Selene L. Fernandez-Valverde</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Riccardo E. Marioni</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Luis R. Saraiva</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Morgan Levine</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Guojie Zhang</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">María C. Ávila-Arcos</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Walter Steiner</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Itay Tirosh</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Lillian Musila</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Elizabeth Mason</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Dimple Notani</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Ambroise Wonkam</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Yukinori Okada</span></li>\n",
       " </ul>,\n",
       " <ul class=\"c-author-list c-author-list--compact\" data-test=\"author-list\">\n",
       " <li itemprop=\"creator\" itemscope=\"\" itemtype=\"http://schema.org/Person\"><span itemprop=\"name\">Geoffrey J. Faulkner</span></li>\n",
       " </ul>]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bs.select('body div section div ul')\n",
    "# /html/body/div[2]/section/div/ul"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data = bs.select('body div div ul li div article div div h3 a')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(raw_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<a class=\"c-card__link u-link-inherit\" data-track=\"click\" data-track-action=\"view article\" data-track-label=\"link\" href=\"/articles/s41576-023-00585-x\" itemprop=\"url\">Understanding soft sweeps: a signature of rapid adaptation</a>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bs.select('body div div ul li div article div div h3 a')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Understanding soft sweeps: a signature of rapid adaptation'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Paper title\n",
    "# X-Path : /html/body/div[2]/section/div/ul/li[1]/div/article/div[1]/div/h3/a/text()\n",
    "bs.select('body div div ul li div article div div h3 a')[0].text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Paper title\n",
    "# X-Path : /html/body/div[2]/section/div/ul/li[1]/div/article/div[1]/div/h3/a/text()\n",
    "title_raw_data = bs.select('body div div ul li div article div div h3 a')\n",
    "titles = [bs.select('body div div ul li div article div div h3 a')[i].text for i in range(len(title_raw_data))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Paper date\n",
    "# X-Path : /html/body/div[2]/section/div/ul/li[1]/div/article/div[2]/time\n",
    "date_raw_data = bs.select('body div div ul li div article div time')\n",
    "dates = [bs.select('body div div ul li div article div time')[i].text for i in range(len(date_raw_data))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "nrg_jc = pd.DataFrame({\n",
    "    'title' : titles,\n",
    "    'date' : dates\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Understanding soft sweeps: a signature of rapi...</td>\n",
       "      <td>17 Feb 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Regulatory promoter architectures in the hands...</td>\n",
       "      <td>06 Feb 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chromatin organization in red triangles</td>\n",
       "      <td>02 Feb 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>How Hi-C ignited the era of 3D genome biology</td>\n",
       "      <td>02 Feb 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Stem cell-derived organoid models: defying the...</td>\n",
       "      <td>25 Jan 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Advances of aneuploidy research in the materna...</td>\n",
       "      <td>12 Jan 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Down memory lane — unravelling the puzzle of g...</td>\n",
       "      <td>12 Jan 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>What’s my age again?</td>\n",
       "      <td>06 Dec 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>The Neanderthal inside us</td>\n",
       "      <td>05 Dec 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Live long &amp; prosper: evidence of evolutionary ...</td>\n",
       "      <td>02 Dec 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The mutation rate as an evolving trait</td>\n",
       "      <td>19 Oct 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>The gene variant that helped put Latinxs in th...</td>\n",
       "      <td>05 Oct 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Dynamic control of the meiotic recombination l...</td>\n",
       "      <td>11 Jul 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Stochastic transitions as a major source of ca...</td>\n",
       "      <td>27 May 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Genomic outbreak surveillance in resource-poor...</td>\n",
       "      <td>16 May 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Variability exposes hidden buffering in the ne...</td>\n",
       "      <td>10 May 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>First glimpse of enhancers in gene regulation</td>\n",
       "      <td>27 Apr 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>New mutations predict clinical manifestation o...</td>\n",
       "      <td>14 Apr 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>An evolving hypothesis in autoimmune disease g...</td>\n",
       "      <td>31 Mar 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Retrotransposons: still mobile in humans</td>\n",
       "      <td>31 Mar 2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                title         date\n",
       "0   Understanding soft sweeps: a signature of rapi...  17 Feb 2023\n",
       "1   Regulatory promoter architectures in the hands...  06 Feb 2023\n",
       "2             Chromatin organization in red triangles  02 Feb 2023\n",
       "3       How Hi-C ignited the era of 3D genome biology  02 Feb 2023\n",
       "4   Stem cell-derived organoid models: defying the...  25 Jan 2023\n",
       "5   Advances of aneuploidy research in the materna...  12 Jan 2023\n",
       "6   Down memory lane — unravelling the puzzle of g...  12 Jan 2023\n",
       "7                                What’s my age again?  06 Dec 2022\n",
       "8                           The Neanderthal inside us  05 Dec 2022\n",
       "9   Live long & prosper: evidence of evolutionary ...  02 Dec 2022\n",
       "10             The mutation rate as an evolving trait  19 Oct 2022\n",
       "11  The gene variant that helped put Latinxs in th...  05 Oct 2022\n",
       "12  Dynamic control of the meiotic recombination l...  11 Jul 2022\n",
       "13  Stochastic transitions as a major source of ca...  27 May 2022\n",
       "14  Genomic outbreak surveillance in resource-poor...  16 May 2022\n",
       "15  Variability exposes hidden buffering in the ne...  10 May 2022\n",
       "16      First glimpse of enhancers in gene regulation  27 Apr 2022\n",
       "17  New mutations predict clinical manifestation o...  14 Apr 2022\n",
       "18  An evolving hypothesis in autoimmune disease g...  31 Mar 2022\n",
       "19           Retrotransposons: still mobile in humans  31 Mar 2022"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nrg_jc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from wordcloud import WordCloud\n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Understanding',\n",
       "  'soft',\n",
       "  'sweeps:',\n",
       "  'a',\n",
       "  'signature',\n",
       "  'of',\n",
       "  'rapid',\n",
       "  'adaptation'],\n",
       " ['Regulatory',\n",
       "  'promoter',\n",
       "  'architectures',\n",
       "  'in',\n",
       "  'the',\n",
       "  'hands',\n",
       "  'of',\n",
       "  'thermodynamic',\n",
       "  'modelling'],\n",
       " ['Chromatin', 'organization', 'in', 'red', 'triangles'],\n",
       " ['How', 'Hi-C', 'ignited', 'the', 'era', 'of', '3D', 'genome', 'biology'],\n",
       " ['Stem',\n",
       "  'cell-derived',\n",
       "  'organoid',\n",
       "  'models:',\n",
       "  'defying',\n",
       "  'the',\n",
       "  'Hayflick',\n",
       "  'limit'],\n",
       " ['Advances',\n",
       "  'of',\n",
       "  'aneuploidy',\n",
       "  'research',\n",
       "  'in',\n",
       "  'the',\n",
       "  'maternal',\n",
       "  'germline'],\n",
       " ['Down',\n",
       "  'memory',\n",
       "  'lane',\n",
       "  '—',\n",
       "  'unravelling',\n",
       "  'the',\n",
       "  'puzzle',\n",
       "  'of',\n",
       "  'gene',\n",
       "  'regulation'],\n",
       " ['What’s', 'my', 'age', 'again?'],\n",
       " ['The', 'Neanderthal', 'inside', 'us'],\n",
       " ['Live',\n",
       "  'long',\n",
       "  '&',\n",
       "  'prosper:',\n",
       "  'evidence',\n",
       "  'of',\n",
       "  'evolutionary',\n",
       "  'forces',\n",
       "  'on',\n",
       "  'lifespan'],\n",
       " ['The', 'mutation', 'rate', 'as', 'an', 'evolving', 'trait'],\n",
       " ['The',\n",
       "  'gene',\n",
       "  'variant',\n",
       "  'that',\n",
       "  'helped',\n",
       "  'put',\n",
       "  'Latinxs',\n",
       "  'in',\n",
       "  'the',\n",
       "  '1000',\n",
       "  'genomes',\n",
       "  'project'],\n",
       " ['Dynamic', 'control', 'of', 'the', 'meiotic', 'recombination', 'landscape'],\n",
       " ['Stochastic',\n",
       "  'transitions',\n",
       "  'as',\n",
       "  'a',\n",
       "  'major',\n",
       "  'source',\n",
       "  'of',\n",
       "  'cancer',\n",
       "  'heterogeneity'],\n",
       " ['Genomic', 'outbreak', 'surveillance', 'in', 'resource-poor', 'settings'],\n",
       " ['Variability',\n",
       "  'exposes',\n",
       "  'hidden',\n",
       "  'buffering',\n",
       "  'in',\n",
       "  'the',\n",
       "  'network',\n",
       "  'specifying',\n",
       "  'intestinal',\n",
       "  'cell',\n",
       "  'fate'],\n",
       " ['First', 'glimpse', 'of', 'enhancers', 'in', 'gene', 'regulation'],\n",
       " ['New',\n",
       "  'mutations',\n",
       "  'predict',\n",
       "  'clinical',\n",
       "  'manifestation',\n",
       "  'of',\n",
       "  'complex',\n",
       "  'traits'],\n",
       " ['An', 'evolving', 'hypothesis', 'in', 'autoimmune', 'disease', 'genetics'],\n",
       " ['Retrotransposons:', 'still', 'mobile', 'in', 'humans']]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "splitted_titles = [re.split('\\s', title) for title in titles]\n",
    "splitted_titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "import itertools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Understanding',\n",
       " 'soft',\n",
       " 'sweeps:',\n",
       " 'a',\n",
       " 'signature',\n",
       " 'of',\n",
       " 'rapid',\n",
       " 'adaptation',\n",
       " 'Regulatory',\n",
       " 'promoter',\n",
       " 'architectures',\n",
       " 'in',\n",
       " 'the',\n",
       " 'hands',\n",
       " 'of',\n",
       " 'thermodynamic',\n",
       " 'modelling',\n",
       " 'Chromatin',\n",
       " 'organization',\n",
       " 'in',\n",
       " 'red',\n",
       " 'triangles',\n",
       " 'How',\n",
       " 'Hi-C',\n",
       " 'ignited',\n",
       " 'the',\n",
       " 'era',\n",
       " 'of',\n",
       " '3D',\n",
       " 'genome',\n",
       " 'biology',\n",
       " 'Stem',\n",
       " 'cell-derived',\n",
       " 'organoid',\n",
       " 'models:',\n",
       " 'defying',\n",
       " 'the',\n",
       " 'Hayflick',\n",
       " 'limit',\n",
       " 'Advances',\n",
       " 'of',\n",
       " 'aneuploidy',\n",
       " 'research',\n",
       " 'in',\n",
       " 'the',\n",
       " 'maternal',\n",
       " 'germline',\n",
       " 'Down',\n",
       " 'memory',\n",
       " 'lane',\n",
       " '—',\n",
       " 'unravelling',\n",
       " 'the',\n",
       " 'puzzle',\n",
       " 'of',\n",
       " 'gene',\n",
       " 'regulation',\n",
       " 'What’s',\n",
       " 'my',\n",
       " 'age',\n",
       " 'again?',\n",
       " 'The',\n",
       " 'Neanderthal',\n",
       " 'inside',\n",
       " 'us',\n",
       " 'Live',\n",
       " 'long',\n",
       " '&',\n",
       " 'prosper:',\n",
       " 'evidence',\n",
       " 'of',\n",
       " 'evolutionary',\n",
       " 'forces',\n",
       " 'on',\n",
       " 'lifespan',\n",
       " 'The',\n",
       " 'mutation',\n",
       " 'rate',\n",
       " 'as',\n",
       " 'an',\n",
       " 'evolving',\n",
       " 'trait',\n",
       " 'The',\n",
       " 'gene',\n",
       " 'variant',\n",
       " 'that',\n",
       " 'helped',\n",
       " 'put',\n",
       " 'Latinxs',\n",
       " 'in',\n",
       " 'the',\n",
       " '1000',\n",
       " 'genomes',\n",
       " 'project',\n",
       " 'Dynamic',\n",
       " 'control',\n",
       " 'of',\n",
       " 'the',\n",
       " 'meiotic',\n",
       " 'recombination',\n",
       " 'landscape',\n",
       " 'Stochastic',\n",
       " 'transitions',\n",
       " 'as',\n",
       " 'a',\n",
       " 'major',\n",
       " 'source',\n",
       " 'of',\n",
       " 'cancer',\n",
       " 'heterogeneity',\n",
       " 'Genomic',\n",
       " 'outbreak',\n",
       " 'surveillance',\n",
       " 'in',\n",
       " 'resource-poor',\n",
       " 'settings',\n",
       " 'Variability',\n",
       " 'exposes',\n",
       " 'hidden',\n",
       " 'buffering',\n",
       " 'in',\n",
       " 'the',\n",
       " 'network',\n",
       " 'specifying',\n",
       " 'intestinal',\n",
       " 'cell',\n",
       " 'fate',\n",
       " 'First',\n",
       " 'glimpse',\n",
       " 'of',\n",
       " 'enhancers',\n",
       " 'in',\n",
       " 'gene',\n",
       " 'regulation',\n",
       " 'New',\n",
       " 'mutations',\n",
       " 'predict',\n",
       " 'clinical',\n",
       " 'manifestation',\n",
       " 'of',\n",
       " 'complex',\n",
       " 'traits',\n",
       " 'An',\n",
       " 'evolving',\n",
       " 'hypothesis',\n",
       " 'in',\n",
       " 'autoimmune',\n",
       " 'disease',\n",
       " 'genetics',\n",
       " 'Retrotransposons:',\n",
       " 'still',\n",
       " 'mobile',\n",
       " 'in',\n",
       " 'humans']"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_words = list(itertools.chain(*splitted_titles))\n",
    "title_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 399.5, 199.5, -0.5)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "counter = Counter(title_words)\n",
    "\n",
    "word_cloud = WordCloud(\n",
    "    background_color=\"black\", \n",
    "    max_font_size=60,\n",
    "    colormap='prism'\n",
    "    ).generate_from_frequencies(counter)\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.imshow(word_cloud)\n",
    "plt.axis('off')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: nltk in c:\\users\\최예름\\appdata\\roaming\\python\\python39\\site-packages (3.8.1)\n",
      "Requirement already satisfied: regex>=2021.8.3 in c:\\users\\최예름\\appdata\\roaming\\python\\python39\\site-packages (from nltk) (2022.10.31)\n",
      "Requirement already satisfied: tqdm in c:\\users\\최예름\\appdata\\roaming\\python\\python39\\site-packages (from nltk) (4.64.1)\n",
      "Requirement already satisfied: click in c:\\users\\최예름\\appdata\\roaming\\python\\python39\\site-packages (from nltk) (8.1.3)\n",
      "Requirement already satisfied: joblib in c:\\users\\최예름\\appdata\\roaming\\python\\python39\\site-packages (from nltk) (1.2.0)\n",
      "Requirement already satisfied: colorama in c:\\users\\최예름\\appdata\\roaming\\python\\python39\\site-packages (from click->nltk) (0.4.6)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: You are using pip version 22.0.4; however, version 23.0.1 is available.\n",
      "You should consider upgrading via the 'C:\\Program Files\\Python39\\python.exe -m pip install --upgrade pip' command.\n"
     ]
    }
   ],
   "source": [
    "!pip install nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from nltk.tokenize import word_tokenize, WordPunctTokenizer, RegexpTokenizer\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tag import pos_tag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package omw-1.4 to\n",
      "[nltk_data]     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package omw-1.4 is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('wordnet')\n",
    "nltk.download('omw-1.4')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading collection 'popular'\n",
      "[nltk_data]    | \n",
      "[nltk_data]    | Downloading package cmudict to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\cmudict.zip.\n",
      "[nltk_data]    | Downloading package gazetteers to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\gazetteers.zip.\n",
      "[nltk_data]    | Downloading package genesis to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\genesis.zip.\n",
      "[nltk_data]    | Downloading package gutenberg to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\gutenberg.zip.\n",
      "[nltk_data]    | Downloading package inaugural to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\inaugural.zip.\n",
      "[nltk_data]    | Downloading package movie_reviews to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\movie_reviews.zip.\n",
      "[nltk_data]    | Downloading package names to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\names.zip.\n",
      "[nltk_data]    | Downloading package shakespeare to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\shakespeare.zip.\n",
      "[nltk_data]    | Downloading package stopwords to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\stopwords.zip.\n",
      "[nltk_data]    | Downloading package treebank to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\treebank.zip.\n",
      "[nltk_data]    | Downloading package twitter_samples to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\twitter_samples.zip.\n",
      "[nltk_data]    | Downloading package omw to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    | Downloading package omw-1.4 to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Package omw-1.4 is already up-to-date!\n",
      "[nltk_data]    | Downloading package wordnet to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Package wordnet is already up-to-date!\n",
      "[nltk_data]    | Downloading package wordnet2021 to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    | Downloading package wordnet31 to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    | Downloading package wordnet_ic to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\wordnet_ic.zip.\n",
      "[nltk_data]    | Downloading package words to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping corpora\\words.zip.\n",
      "[nltk_data]    | Downloading package maxent_ne_chunker to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping chunkers\\maxent_ne_chunker.zip.\n",
      "[nltk_data]    | Downloading package punkt to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    |   Unzipping tokenizers\\punkt.zip.\n",
      "[nltk_data]    | Downloading package snowball_data to\n",
      "[nltk_data]    |     C:\\Users\\최예름\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]    | Downloading package averaged_perceptron_tagger to\n",
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      "[nltk_data]    |   Unzipping taggers\\averaged_perceptron_tagger.zip.\n",
      "[nltk_data]    | \n",
      "[nltk_data]  Done downloading collection popular\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.download('popular')\n",
    "#nltk.word_tokenizer\n",
    "#nltk.pos_tag\n",
    "# 명사 단어 뽑고, 명사 단어에 붙은 수식어까지 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "text = 'Regulatory promoter architectures in the hands of thermodynamic modelling'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Regulatory', 'NNP'),\n",
       " ('promoter', 'NN'),\n",
       " ('architectures', 'NNS'),\n",
       " ('in', 'IN'),\n",
       " ('the', 'DT'),\n",
       " ('hands', 'NNS'),\n",
       " ('of', 'IN'),\n",
       " ('thermodynamic', 'JJ'),\n",
       " ('modelling', 'NN')]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "result = nltk.word_tokenize(text)\n",
    "result2 = nltk.pos_tag(result)\n",
    "result2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regulatory\n",
      "promoter\n",
      "architectures\n",
      "hands\n",
      "thermodynamic\n",
      "modelling\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(result2)):\n",
    "    if result2[i][1].startswith('N') or result2[i][1].startswith('J'):\n",
    "        print(result2[i][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Understanding', 'VBG'),\n",
       " ('soft', 'JJ'),\n",
       " ('sweeps:', 'NN'),\n",
       " ('a', 'DT'),\n",
       " ('signature', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('rapid', 'JJ'),\n",
       " ('adaptation', 'NN'),\n",
       " ('Regulatory', 'NNP'),\n",
       " ('promoter', 'NN'),\n",
       " ('architectures', 'NNS'),\n",
       " ('in', 'IN'),\n",
       " ('the', 'DT'),\n",
       " ('hands', 'NNS'),\n",
       " ('of', 'IN'),\n",
       " ('thermodynamic', 'JJ'),\n",
       " ('modelling', 'NN'),\n",
       " ('Chromatin', 'NNP'),\n",
       " ('organization', 'NN'),\n",
       " ('in', 'IN'),\n",
       " ('red', 'JJ'),\n",
       " ('triangles', 'NNS'),\n",
       " ('How', 'WRB'),\n",
       " ('Hi-C', 'NNP'),\n",
       " ('ignited', 'VBD'),\n",
       " ('the', 'DT'),\n",
       " ('era', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('3D', 'CD'),\n",
       " ('genome', 'JJ'),\n",
       " ('biology', 'NN'),\n",
       " ('Stem', 'NNP'),\n",
       " ('cell-derived', 'JJ'),\n",
       " ('organoid', 'NN'),\n",
       " ('models:', 'NN'),\n",
       " ('defying', 'VBG'),\n",
       " ('the', 'DT'),\n",
       " ('Hayflick', 'NNP'),\n",
       " ('limit', 'NN'),\n",
       " ('Advances', 'NNS'),\n",
       " ('of', 'IN'),\n",
       " ('aneuploidy', 'JJ'),\n",
       " ('research', 'NN'),\n",
       " ('in', 'IN'),\n",
       " ('the', 'DT'),\n",
       " ('maternal', 'JJ'),\n",
       " ('germline', 'NN'),\n",
       " ('Down', 'NNP'),\n",
       " ('memory', 'NN'),\n",
       " ('lane', 'NN'),\n",
       " ('—', 'NNP'),\n",
       " ('unravelling', 'VBG'),\n",
       " ('the', 'DT'),\n",
       " ('puzzle', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('gene', 'NN'),\n",
       " ('regulation', 'NN'),\n",
       " ('What’s', 'NNP'),\n",
       " ('my', 'PRP$'),\n",
       " ('age', 'NN'),\n",
       " ('again?', 'VBZ'),\n",
       " ('The', 'DT'),\n",
       " ('Neanderthal', 'NNP'),\n",
       " ('inside', 'IN'),\n",
       " ('us', 'PRP'),\n",
       " ('Live', 'NNP'),\n",
       " ('long', 'RB'),\n",
       " ('&', 'CC'),\n",
       " ('prosper:', 'JJ'),\n",
       " ('evidence', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('evolutionary', 'JJ'),\n",
       " ('forces', 'NNS'),\n",
       " ('on', 'IN'),\n",
       " ('lifespan', 'IN'),\n",
       " ('The', 'DT'),\n",
       " ('mutation', 'NN'),\n",
       " ('rate', 'NN'),\n",
       " ('as', 'IN'),\n",
       " ('an', 'DT'),\n",
       " ('evolving', 'VBG'),\n",
       " ('trait', 'NN'),\n",
       " ('The', 'DT'),\n",
       " ('gene', 'NN'),\n",
       " ('variant', 'NN'),\n",
       " ('that', 'WDT'),\n",
       " ('helped', 'VBD'),\n",
       " ('put', 'VB'),\n",
       " ('Latinxs', 'NNP'),\n",
       " ('in', 'IN'),\n",
       " ('the', 'DT'),\n",
       " ('1000', 'CD'),\n",
       " ('genomes', 'NNS'),\n",
       " ('project', 'JJ'),\n",
       " ('Dynamic', 'NNP'),\n",
       " ('control', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('the', 'DT'),\n",
       " ('meiotic', 'JJ'),\n",
       " ('recombination', 'NN'),\n",
       " ('landscape', 'NN'),\n",
       " ('Stochastic', 'JJ'),\n",
       " ('transitions', 'NNS'),\n",
       " ('as', 'IN'),\n",
       " ('a', 'DT'),\n",
       " ('major', 'JJ'),\n",
       " ('source', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('cancer', 'NN'),\n",
       " ('heterogeneity', 'NN'),\n",
       " ('Genomic', 'NNP'),\n",
       " ('outbreak', 'NN'),\n",
       " ('surveillance', 'NN'),\n",
       " ('in', 'IN'),\n",
       " ('resource-poor', 'JJ'),\n",
       " ('settings', 'NNS'),\n",
       " ('Variability', 'NNP'),\n",
       " ('exposes', 'VBZ'),\n",
       " ('hidden', 'JJ'),\n",
       " ('buffering', 'NN'),\n",
       " ('in', 'IN'),\n",
       " ('the', 'DT'),\n",
       " ('network', 'NN'),\n",
       " ('specifying', 'VBG'),\n",
       " ('intestinal', 'JJ'),\n",
       " ('cell', 'NN'),\n",
       " ('fate', 'NN'),\n",
       " ('First', 'NNP'),\n",
       " ('glimpse', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('enhancers', 'NNS'),\n",
       " ('in', 'IN'),\n",
       " ('gene', 'NN'),\n",
       " ('regulation', 'NN'),\n",
       " ('New', 'NNP'),\n",
       " ('mutations', 'NNS'),\n",
       " ('predict', 'VBP'),\n",
       " ('clinical', 'JJ'),\n",
       " ('manifestation', 'NN'),\n",
       " ('of', 'IN'),\n",
       " ('complex', 'JJ'),\n",
       " ('traits', 'NNS'),\n",
       " ('An', 'DT'),\n",
       " ('evolving', 'VBG'),\n",
       " ('hypothesis', 'NN'),\n",
       " ('in', 'IN'),\n",
       " ('autoimmune', 'JJ'),\n",
       " ('disease', 'NN'),\n",
       " ('genetics', 'NNS'),\n",
       " ('Retrotransposons:', 'NNP'),\n",
       " ('still', 'RB'),\n",
       " ('mobile', 'VBZ'),\n",
       " ('in', 'IN'),\n",
       " ('humans', 'NNS')]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "title_words_wordtype = nltk.pos_tag(title_words)\n",
    "title_words_wordtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['soft',\n",
       " 'sweeps:',\n",
       " 'signature',\n",
       " 'rapid',\n",
       " 'adaptation',\n",
       " 'Regulatory',\n",
       " 'promoter',\n",
       " 'architectures',\n",
       " 'hands',\n",
       " 'thermodynamic',\n",
       " 'modelling',\n",
       " 'Chromatin',\n",
       " 'organization',\n",
       " 'red',\n",
       " 'triangles',\n",
       " 'Hi-C',\n",
       " 'era',\n",
       " 'genome',\n",
       " 'biology',\n",
       " 'Stem',\n",
       " 'cell-derived',\n",
       " 'organoid',\n",
       " 'models:',\n",
       " 'Hayflick',\n",
       " 'limit',\n",
       " 'Advances',\n",
       " 'aneuploidy',\n",
       " 'research',\n",
       " 'maternal',\n",
       " 'germline',\n",
       " 'Down',\n",
       " 'memory',\n",
       " 'lane',\n",
       " '—',\n",
       " 'puzzle',\n",
       " 'gene',\n",
       " 'regulation',\n",
       " 'What’s',\n",
       " 'age',\n",
       " 'Neanderthal',\n",
       " 'Live',\n",
       " 'prosper:',\n",
       " 'evidence',\n",
       " 'evolutionary',\n",
       " 'forces',\n",
       " 'mutation',\n",
       " 'rate',\n",
       " 'trait',\n",
       " 'gene',\n",
       " 'variant',\n",
       " 'Latinxs',\n",
       " 'genomes',\n",
       " 'project',\n",
       " 'Dynamic',\n",
       " 'control',\n",
       " 'meiotic',\n",
       " 'recombination',\n",
       " 'landscape',\n",
       " 'Stochastic',\n",
       " 'transitions',\n",
       " 'major',\n",
       " 'source',\n",
       " 'cancer',\n",
       " 'heterogeneity',\n",
       " 'Genomic',\n",
       " 'outbreak',\n",
       " 'surveillance',\n",
       " 'resource-poor',\n",
       " 'settings',\n",
       " 'Variability',\n",
       " 'hidden',\n",
       " 'buffering',\n",
       " 'network',\n",
       " 'intestinal',\n",
       " 'cell',\n",
       " 'fate',\n",
       " 'First',\n",
       " 'glimpse',\n",
       " 'enhancers',\n",
       " 'gene',\n",
       " 'regulation',\n",
       " 'New',\n",
       " 'mutations',\n",
       " 'clinical',\n",
       " 'manifestation',\n",
       " 'complex',\n",
       " 'traits',\n",
       " 'hypothesis',\n",
       " 'autoimmune',\n",
       " 'disease',\n",
       " 'genetics',\n",
       " 'Retrotransposons:',\n",
       " 'humans']"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_list = [title_words_wordtype[i][0] for i in range(len(title_words_wordtype)) if title_words_wordtype[i][1].startswith('N') or title_words_wordtype[i][1].startswith('J')]\n",
    "word_list\n",
    "\n",
    "# have to combine: 'soft sweeps', \n",
    "# 'sweeps:'에서 :를 제거하고 combine\n",
    "# 'rapid adaptation', \n",
    "# 'Regulatory promoter architectures', 'thermodynamic modelling', \n",
    "# 'Chromatin organization', 'red triangles', '3D genome biology',\n",
    "# '3D'는 리스트에 없음\n",
    "# 'Stem cell-derived organoid', 'Hayflick limit', \n",
    "# 'maternal germline', 'Down memory lane',\n",
    "# 'gene regulation', 'evidence of evolutionary forces',\n",
    "# 'mutation rate', 'evolving trait'\n",
    "# 'evolving은 리스트에 없음\n",
    "# 'gene variant', '1000 genomes project',\n",
    "# 1000은 리스트에 없음\n",
    "# 'Dynamic control', 'meiotic recombination',\n",
    "# 'Stochastic transitions', 'cancer heterogeneity',\n",
    "# 'hidden buffering', 'intestinal cell fate',\n",
    "# 'gene regulation', 'clinical manifestation',\n",
    "# 'complex traits', 'autoimmune disease genetics'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Understanding',\n",
       " 'soft',\n",
       " 'sweeps:',\n",
       " 'a',\n",
       " 'signature',\n",
       " 'of',\n",
       " 'rapid',\n",
       " 'adaptation',\n",
       " 'Regulatory',\n",
       " 'promoter',\n",
       " 'architectures',\n",
       " 'in',\n",
       " 'the',\n",
       " 'hands',\n",
       " 'of',\n",
       " 'thermodynamic',\n",
       " 'modelling',\n",
       " 'Chromatin',\n",
       " 'organization',\n",
       " 'in',\n",
       " 'red',\n",
       " 'triangles',\n",
       " 'How',\n",
       " 'Hi-C',\n",
       " 'ignited',\n",
       " 'the',\n",
       " 'era',\n",
       " 'of',\n",
       " '3D',\n",
       " 'genome',\n",
       " 'biology',\n",
       " 'Stem',\n",
       " 'cell-derived',\n",
       " 'organoid',\n",
       " 'models:',\n",
       " 'defying',\n",
       " 'the',\n",
       " 'Hayflick',\n",
       " 'limit',\n",
       " 'Advances',\n",
       " 'of',\n",
       " 'aneuploidy',\n",
       " 'research',\n",
       " 'in',\n",
       " 'the',\n",
       " 'maternal',\n",
       " 'germline',\n",
       " 'Down',\n",
       " 'memory',\n",
       " 'lane',\n",
       " '—',\n",
       " 'unravelling',\n",
       " 'the',\n",
       " 'puzzle',\n",
       " 'of',\n",
       " 'gene',\n",
       " 'regulation',\n",
       " 'What’s',\n",
       " 'my',\n",
       " 'age',\n",
       " 'again?',\n",
       " 'The',\n",
       " 'Neanderthal',\n",
       " 'inside',\n",
       " 'us',\n",
       " 'Live',\n",
       " 'long',\n",
       " '&',\n",
       " 'prosper:',\n",
       " 'evidence',\n",
       " 'of',\n",
       " 'evolutionary',\n",
       " 'forces',\n",
       " 'on',\n",
       " 'lifespan',\n",
       " 'The',\n",
       " 'mutation',\n",
       " 'rate',\n",
       " 'as',\n",
       " 'an',\n",
       " 'evolving',\n",
       " 'trait',\n",
       " 'The',\n",
       " 'gene',\n",
       " 'variant',\n",
       " 'that',\n",
       " 'helped',\n",
       " 'put',\n",
       " 'Latinxs',\n",
       " 'in',\n",
       " 'the',\n",
       " '1000',\n",
       " 'genomes',\n",
       " 'project',\n",
       " 'Dynamic',\n",
       " 'control',\n",
       " 'of',\n",
       " 'the',\n",
       " 'meiotic',\n",
       " 'recombination',\n",
       " 'landscape',\n",
       " 'Stochastic',\n",
       " 'transitions',\n",
       " 'as',\n",
       " 'a',\n",
       " 'major',\n",
       " 'source',\n",
       " 'of',\n",
       " 'cancer',\n",
       " 'heterogeneity',\n",
       " 'Genomic',\n",
       " 'outbreak',\n",
       " 'surveillance',\n",
       " 'in',\n",
       " 'resource-poor',\n",
       " 'settings',\n",
       " 'Variability',\n",
       " 'exposes',\n",
       " 'hidden',\n",
       " 'buffering',\n",
       " 'in',\n",
       " 'the',\n",
       " 'network',\n",
       " 'specifying',\n",
       " 'intestinal',\n",
       " 'cell',\n",
       " 'fate',\n",
       " 'First',\n",
       " 'glimpse',\n",
       " 'of',\n",
       " 'enhancers',\n",
       " 'in',\n",
       " 'gene',\n",
       " 'regulation',\n",
       " 'New',\n",
       " 'mutations',\n",
       " 'predict',\n",
       " 'clinical',\n",
       " 'manifestation',\n",
       " 'of',\n",
       " 'complex',\n",
       " 'traits',\n",
       " 'An',\n",
       " 'evolving',\n",
       " 'hypothesis',\n",
       " 'in',\n",
       " 'autoimmune',\n",
       " 'disease',\n",
       " 'genetics',\n",
       " 'Retrotransposons:',\n",
       " 'still',\n",
       " 'mobile',\n",
       " 'in',\n",
       " 'humans']"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
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  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "11938c6bc6919ae2720b4d5011047913343b08a43b18698fd82dedb0d4417594"
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 },
 "nbformat": 4,
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}