8ef261d1088438332f8a82b74a708d8eb218d045 brianlee Mon May 23 15:07:09 2022 -0700 Making ReMap image a bit larger and removing accidental paragraph close diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index 6689a5c..352521a 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -243,35 +243,35 @@ <a href="/cgi-bin/hgTrackUi?db=mm39&c=chrX&g=ReMap">mm39</a>, <a href="/cgi-bin/hgTrackUi?db=mm10&c=chrX&g=ReMap">mm10</a>, and <a href="/cgi-bin/hgTrackUi?db=dm6&c=chr4&g=ReMap">dm6</a>. These tracks represent the <a href="https://remap.univ-amu.fr/" target="_blank">ReMap Atlas</a> of regulatory regions, which consists of a large-scale integrative analysis of all Public ChIP-seq data for transcriptional regulators from GEO, ArrayExpress, and ENCODE. Each transcription factor follows a specific RGB color. Individual BED files for specific TFs, cells/biotypes, or data sets can be found and downloaded on the <a href="https://remap.univ-amu.fr/download_page" target="_blank">ReMap website</a>. </p> <p> The below image shows the ReMap ChIP-seq Track, where a right-click can bring up the configuration option. Then there are filters available using either regular expression (regexp) or wildcards. In the image <code>.*A\|B\|F.*</code> is using regexp, which will select all Transcriptional regulators that include either the letter A, B, or F, while a separate wildcard filter on the -Biotypes field, <code>MC*</code>, selects all tissue names starting with MC.</p> Drop-down menus +Biotypes field, <code>MC*</code>, selects all tissue names starting with MC. Drop-down menus also exist to perform the same filters, as well as the ability to customize the label, for instance, to only show the Biotype.</p> <div class="text-center"> - <img src="../images/newsArchImages/ReMap.png" alt="ReMap Filter" width="700"> + <img src="../images/newsArchImages/ReMap.png" alt="ReMap Filter" width="1000"> </div> <p> We would like to thank Benoit Ballester and the ReMap team at <a href="https://tagc.univ-amu.fr/" target="_blank">TAGC INSERM</a> (Inserm National Institute of Health and Medical Research) for making this data available. We also want to thank Max Haeussler, Gerardo Perez and Jairo Navarro for the creation and release of these tracks. </p> <a name="042222"></a> <h2>Apr. 22, 2022 European Variant Archive (EVA) data now available on 16 assemblies</h2> <p> The <a href="https://www.ebi.ac.uk/eva/" target="_blank">European Variant Archive</a> has extensive data on variation across many different species and assemblies. We have updated our 16 most popular non-human genome assemblies with their latest data: <a href="https://www.ebi.ac.uk/eva/?RS-Release&releaseVersion=3" target="_blank">Release 3</a>.