b045a054fe063e155ecc27327079cf62a53ff63b
bnguy
  Fri Jan 17 14:03:13 2020 -0800
Deleting psychic, adding UCSC Cell Atlas refs #23930 #23931

diff --git src/hg/cirm/gateway/htdocs/tools.html src/hg/cirm/gateway/htdocs/tools.html
index 05862e2..0fcf41c 100755
--- src/hg/cirm/gateway/htdocs/tools.html
+++ src/hg/cirm/gateway/htdocs/tools.html
@@ -1,322 +1,287 @@
 <!DOCTYPE html>
 <!--#set var="TITLE" value="CIRM Stem Cell Hub at UCSC Homepage" -->
 
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 <!--#include virtual="${ROOT}inc/header.html" -->
 
 <div class="cirm-page-body">
   <div class="cirm-page-title back-light-green">
     <h5 class="cirm-page-title-text">Tools from the CESCG groups</h5>
   </div>
   <div class="row no-gutters">
     <div class="card-deck">
       <a name="CellBrowser"></a>
       <div class="card">
         <div class="card-body text-center">
           <img class="card-top-img" style="max-width: 300px"
           src="https://cells.ucsc.edu/cortex-dev/thumb.png">
           <p class="lead text-center"><span style="color: #1E90FF">Cell Browser:</span> Visualize single-cell clustering data</p>
           <ul class="list-group list-group-flush text-left">
             <li class="list-group-item">The Cell Browser allows for the visualization of single-cell
             clustering data with the option to color cell by metadata attributes such as sex, age,
             and gene expression. A number of published datasets are available through the Cell
             Browser website or set up a Cell Browser for your own data using the code on GitHub.
             </li>
             <li class="list-group-item"><a href="https://cells.ucsc.edu" target="_blank">Cell
             Browser Website</a> <i class="fas fa-external-link-alt" aria-hidden="true"></i></li>
             <li class="list-group-item"><a href="https://github.com/maximilianh/cellBrowser"
             target="_blank">Cell Browser GitHub</a> <i class="fab fa-github" aria-hidden="true"></i>
             </li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
           The Cell Browser was created by Max Haeussler.
           </small>
         </div>
       </div>
       <a name="PluriTest"></a>
       <div class="card">
         <div class="card-body text-center">
           <img class="card-top-img" style="max-width: 300px"
           src="<!--#echo var='ROOT'-->images/pluritestWelcome.png">
           <p class="lead"><span style="color: #1E90FF">PluriTest:</span> Check for Pluripotency</p>
           <ul class="list-group list-group-flush text-left">
             <li class="list-group-item">
             Pluritest allows you check your samples for pluripotentcy through uploading RNA-seq
             fastq files or Affymetrix and Illumina arrays.
             Note: Use of Pluritest requires you to register an account.
             </li>
             <li class="list-group-item">
             M&#252;ller FJ, Schuldt BM, Williams R, Mason D, Altun G, Papapetrou EP, Danner S, Goldmann JE,
             Herbst A, Schmidt NO <em>et al</em>.
             <a href="http://dx.doi.org/10.1038/nmeth.1580" target="_blank">
             A bioinformatic assay for pluripotency in human cells</a>.
             <em>Nat Methods</em>. 2011 Apr;8(4):315-7.
             PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/21378979" target="_blank">21378979</a>; PMC: <a
             href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3265323/" target="_blank">PMC3265323</a>
             </li>
             <li class="list-group-item"><a href="https://www.pluritest.org/" target="_blank">PluriTest
             Website</a> <i class="fas fa-external-link-alt" aria-hidden="true"></i></p>
             </li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
           PluriTest was created by Roy Williams and the <a
           href="https://www.scripps.edu/loring/" target="_blank">Jeanne Loring Lab</a>.
           </small>
         </div>
       </div>
     </div>
   </div>
   <br>
   <div class="row no-gutters">
     <div class="card-deck">
       <a name="Pgltools"></a>
       <div class="card">
         <div class="card-body text-center">
           <span class="padded-top-img">
             <img class="img-responsive" style="max-width: 300px"
             src="https://raw.githubusercontent.com/billgreenwald/pgltools/master/Images/logo.png">
           </span>
           <p class="lead"><span style="color: #1E90FF">Pgltools:</span> Manipulate Hi-C and ChIA-PET
           data</p>
           <ul class="list-group list-group-flush text-left">
             <li class="list-group-item">
             The pgltools package gives you a number of utilities for manipulating files in the
             <a href="https://github.com/billgreenwald/pgltools#the-pgl-file-format"
             target="_blank">&quot;paired genomic loci&quot;</a> format, common in both Hi-C and 
             ChIA-PET experiments. These utilities allow you to things such as convert pgl files
             to a number of other formats, compare and contrast multiple pgl files, and other basic
             operations like sorting or merging files.
             </li>
             <li class="list-group-item">
             Greenwald WW, Li H, Smith EN, Benaglio P, Nariai N, Frazer KA.
             <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1621-0"
             target="_blank">
             Pgltools: a genomic arithmetic tool suite for manipulation of Hi-C peak and other chromatin
             interaction data</a>.
             <em>BMC Bioinformatics</em>. 2017 Apr 7;18(1):207.
             PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/28388874" target="_blank">28388874</a>; PMC: <a
             href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384132/" target="_blank">PMC5384132</a>
             </li>
             <li class="list-group-item"><a href="https://github.com/billgreenwald/pgltools"
             target="_blank">Pgltools GitHub</a> <i class="fab fa-github" aria-hidden="true"></i></li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
           The Pgltools package was created by Bill Greenwald.
           </small>
         </div>
       </div>
       <a name="SCIMITAR"></a>
       <div class="card">
         <div class="card-body text-center">
           <span class="padded-top-img">
             <img src="">
           </span>
           <p class="lead"><span style="color: #1E90FF">SCIMITAR:</span> Single Cell Inference of
           MorphIng Trajectories and their Associated Regulation</p>
           <ul class="list-group list-group-flush text-left">
             <li class="list-group-item">The SCIMITAR package contains a number of tools to help
             scientists analyze cell trajectory maps based on single cell sequencing data.</li>
             <li class="list-group-item">
             Cordero P, Stuart JM.
             <a href="http://dx.doi.org/10.1142/9789813207813_0053" target="_blank">
             Tracing co-regulatory network dynamics in noisy, single-cell transcriptome trajectories</a>
             <i class="far fa-file-pdf" aria-hidden="true"></i>.
             <em>Pac Symp Biocomput</em>. 2016;22:576-587.
             PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/27897008" target="_blank">27897008</a>; PMC: <a
             href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5203771/" target="_blank">PMC5203771</a>
             </li>
             <li class="list-group-item">
             <a href="https://github.com/dimenwarper/scimitar" target="_blank">SCIMITAR GitHub</a>
             <i class="fab fa-github" aria-hidden="true"></i></p>
             </li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
           SCIMITAR was created Pablo Cordero.
           </small>
         </div>
       </div>
     </div>
   </div>
   <br>
   <div class="row no-gutters">
     <div class="card-deck">
       <a name="tagStorm"></a>
       <div class="card">
         <div class="card-body text-center">
           <img class="card-top-img" style="max-width: 300px"
           src="<!--#echo var='ROOT'-->images/tagStormImage.png">
           <p class="lead"><span style="color: #1E90FF">Tag Storm:</span> Metadata made
           simple</p>
           <ul class="list-group list-group-flush text-left">
             <li class="list-group-item">
             <p>
             The tag storm format offers an easy way to describe
             a hierarchical set of metadata for your data. The tag storm format is made up of
             a number of key/value pairs spread across stanzas at various indentation levels.
             Lower indentation levels inherit information from higher levels, so the most general
             metadata, e.g. lab or dataset names, are generally found at the highest level and
             more specifc metadata, e.g. sex or file name, are found at the lower level.</p>
             <p>
             The Tag Storm GitHub page contains more information about the format as well as a
             suite of tools to work with and manipulate tag storm files.
             </li>
             <li class="list-group-item">
             <a href="https://github.com/ucscGenomeBrowser/kent/tree/master/src/tagStorm"
             target="_blank">Tag Storm GitHub</a> <i class="fab fa-github" aria-hidden="true"></i></p>
             </li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
           TagStorm format and utilities were developed by Jim Kent.
           </small>
         </div>
       </div>
       <a name="RIGGLE"></a>
       <div class="card">
         <div class="card-body text-center">
           <img class="card-top-img" style="max-width: 300px"
           src="<!--#echo var='ROOT'-->images/RIGGLE_demo.png">
           <p class="lead"><span style="color: #1E90FF">RIGGLE:</span> Regulator Inference by
           Graph-Guided LASSO Estimation</p>
           <ul class="list-group list-group-flush text-left">
             <li class="list-group-item">
             <p>
             RIGGLE (Regulatory Inference by Graph-Guided LASSO Estimation)
             is a machine learning framework designed to discover the transcription factor regulators
             of a cell development trajectory by taking in expression data, known transcription
             factor targets, and a cell development graph.</p>
             <p>
             This process produces predictions for the transcription factor's
             activities in each of the cell types represented in the graph based on the
             coordinated expression of its targets, while respecting the developmental
             relationships between the cells.</p>
             </li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
           RIGGLE was created by Dan Carlin.
           </small>
         </div>
       </div>
     </div>
   </div>
   <br>
   <div class="row no-gutters">
     <div class="card-deck">
-      <a name="samplePsychic"></a>
+     <a name="cellAtlas"></a> 
      <div class="card">
        <div class="card-body text-center">
-          <span class="card-top-img">
-            <div id="carouselInd" class="carousel slide" data-ride="carousel" style="/*background-color: black*/">
-              <div class="carousel-inner">
-                <div class="carousel-item active">
-                  <img style="max-height: 200px"
-                  src="<!--#echo var='ROOT'-->images/SamplePsychicReportCard.png"
-                  alt="Report Card view, showing matches grouped by sample. Has CSV download.">
-                </div>
-                <div class="carousel-item">
-                  <img style="max-height: 200px"
-                  src="<!--#echo var='ROOT'-->images/SamplePsychicDetailedView.png"
-                  alt="By-sample view. Similar to Report Card but easier to navigate.">
-                </div>
-                <div class="carousel-item">
-                  <img style="max-height: 200px"
-                  src="<!--#echo var='ROOT'-->images/SamplePsychicPlot.png"
-                  alt="Experimental tSNE clustering of input samples.">
-                </div>
-              </div>
-              <a class="carousel-control-prev" href="#carouselInd" role="button" data-slide="prev">
-              <i class="fas fa-angle-left fa-2x text-primary" aria-hidden="true"></i>
-              </a>
-              <a class="carousel-control-next" href="#carouselInd" role="button" data-slide="next">
-              <i class="fas fa-angle-right fa-2x text-primary" aria-hidden="true"></i>
-              </a>
-            </div>
-          </span>
-          <p class="lead"><span style="color: #1E90FF">Sample Psychic:</span> See how your
-          cells compare</p>
+         <img class="card-img-top"Style="max-width: 300px"	
+         src="https://cellatlas.ucsc.edu/static/media/logo.3369643f.svg">
+         <p class="lead"><span style="color: #1E90FF">UCSC Cell Atlas</span></p>
          <ul class="list-group list-group-flush text-left">
            <li class="list-group-item">
            <p>
-            Sample Psychic can take your gene expression data and
-            compare it to curated references.
-            This comparison is used to produce a scorecard which shows how closely your data maps
-            up to the curated cell types.</p>
-            <p>
-            The Sample Psychic web application allows
-            users to upload gene expression data and gain insights into those samples by
-            applying suites of pre-trained concept classifiers to each sample. The
-            resulting set of classification scores is presented as a report card that can
-            be used to validate the identity of the samples and explore similarity between
-            these samples and target concepts represented in in the Sample Psychic suite.
-            For CIRM, classifiers were built for both fetal tissue clusters and hand
-            labeled brain regions. One binary classifier is created for tissue
-            type/cluster. A total of 96 fetal tissue clusters are represented in the
-            Sample Psychic classifier compendium along with 30 classifiers representing
-            hand-labeled brain regions. The pattern of individual classifier scores can
-            give a picture of how user samples map to brain regions and to previously
-            analyzed clusters.</p></li>
-            <li class="list-group-item"><a href="https://samplepsychic.ucsc.edu/"
-            target="_blank">Sample Psychic Website</a> <i class="fas fa-external-link-alt"
+           The UCSC Cell Atlas is a growing compendium of single-cell mRNA seq
+           data coupled with visualizations and query abilities designed to expedite the
+           process of biological discovery from single-cell mRNA seq experiments. We aim
+           to augment research by providing an intuitive web interface for browsing single-cell 
+           mRNA seq experiments and a seamless connection from browsing to analysis
+           through a RESTful API. Also under development is a cell type labeling
+           app geared to ease the burden of manual annotation and creation of publication
+           quality figures for newly generated data.</p>
+           </li>
+           <li class="list-group-item"><a href="https://cellatlas.ucsc.edu/"
+           target="_blank">UCSC Cell Atlas Website</a> <i class="fas fa-external-link-alt"
            aria-hidden="true"></i></p></li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
-          Sample Psychic was created by James Durbin.
+          The UCSC Cell Atlas was created by the Josh Stuart Lab at UCSC. 
           </small>
         </div>
       </div>
       <a name="MISCE"></a>
       <div class="card">
         <div class="card-body text-center">
           <img class="card-img-top" style="max-width: 300px"
           src="<!--#echo var='ROOT'-->images/misce1.png">
           <p class="lead"><span style="color: #1E90FF">MISCE:</span> A Minimum Information
           About a Stem Cell Experiment</p>
           <ul class="list-group list-group-flush text-left">
             <li class="list-group-item">
               <p>
               MISCE, or Minimum Information about a Stem Cell Expriment, is a
               spreadsheet that attempts to collect a rich set of useful information (metadata) about
               any experiment involving stem cells. The hope is that in using MISCE, the detailed
               metadata will make the experimental data useful to others attempting to use it
               in the future.</p>
               <p>
               MISCE consists of a number of different modules with each module describing a
               different experimental process, e.g. celluar reprogramming or RNA sequencing,
               and all of the important information related to this process, e.g. &quot;Biosample
               disease stage&quot; or &quot;Assay platform&quot;. Each module can
               be included or excluded based on the type of experiment being performed. For
               example, you might not include the &quot;Assay_DNAMethyl&quot; module if you
               are not performing DNA methylation assays as part of your experiment.</p>
             </li>
             <li class="list-group-item">
               <a href="<!--#echo var='ROOT'-->MISCEv1.1.pdf">PDF of MISCE modules</a>
               <i class="far fa-file-pdf" aria-hidden="true"></i>
             </li>
           </ul>
         </div>
         <div class="card-footer">
           <small class="text-muted">
           MISCE was created by Sagar Jain and Richard Scheuermann;
           it is currently maintained by UCSC.
           </small>
         </div>
       </div>
     </div>
   </div>
 </div>
 
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