d7a5dfe14d2495eed1b79a0171768bf6822193b3
gperez2
  Mon Jun 27 12:06:48 2022 -0700
Adding Data Access section to track description page, refs #29153

diff --git src/hg/makeDb/trackDb/human/constraintSuper.html src/hg/makeDb/trackDb/human/constraintSuper.html
index 016b9cf..8850ccb 100644
--- src/hg/makeDb/trackDb/human/constraintSuper.html
+++ src/hg/makeDb/trackDb/human/constraintSuper.html
@@ -150,30 +150,59 @@
 script. The bedGraph files were then converted to bigWig files, as documented in our 
 <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/doc/hg19.txt" 
 target=_blank>makeDoc</a> hg19 build log.</p>
 
 <h3>MTR</h3> 
 <p>
 <a href="http://biosig.unimelb.edu.au/mtr-viewer/downloads" target="_blank">V2
 file</a> was downloaded and columns were reshuffled as well as itemRgb added for the
 <b>MTR All data</b> track. For the <b>MTR Scores</b> track the file was parsed with a python
 script to pull out the highest possible MTR score for each of the 3 possible mutations
 at each base pair and 4 tracks built out of these values representing each mutation.</p>
 <p>
 See the <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg
 /makeDb/doc/hg19.txt" target=_blank>hg19 makeDoc</a> entry on MTR for more info.</p>
 
+<h2>Data Access</h2>
+<p>
+The raw data can be explored interactively with the <a href="../hgTables">Table Browser</a>, or
+the <a href="../hgIntegrator">Data Integrator</a>. For automated access, this track, like all
+others, is available via our <a href="../goldenPath/help/api.html">API</a>.  However, for bulk
+processing, it is recommended to download the dataset.
+</p>
+
+<p>
+For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed
+files that can be downloaded from
+<a href="http://hgdownload.soe.ucsc.edu/gbdb/$db/" target="_blank">our download server</a>.
+Individual regions or the whole genome annotation can be obtained using our tools <tt>bigWigToWig</tt>
+or <tt>bigBedToBed</tt> which can be compiled from the source code or downloaded as a precompiled
+binary for your system. Instructions for downloading source code and binaries can be found
+<a href="http://hgdownload.soe.ucsc.edu/downloads.html#utilities_downloads">here</a>.
+The tools can also be used to obtain features confined to a given range, e.g.,
+<br>
+<tt>bigWigToBedGraph -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/$db/hmc/hmc.bw stdout</tt>
+<br>
+</p>
+
+<p>
+Please refer to our
+<a HREF="../FAQ/FAQdownloads.html#download36" target=_blank>Data Access FAQ</a>
+for more information.
+</p>
+
+
 <h2>Credits</h2>
 
 <p>
 Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slavé Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. 
 </p>
 
 <h2>References</h2>
 
 <p>
 Vitsios D, Dhindsa RS, Middleton L, Gussow AB, Petrovski S.
 <a href="https://www.ncbi.nlm.nih.gov/pubmed/33686085" target="_blank">
     Prioritizing non-coding regions based on human genomic constraint and sequence context with deep
     learning</a>.
 <em>Nat Commun</em>. 2021 Mar 8;12(1):1504.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/33686085" target="_blank">33686085</a>; PMC: <a