d6b429ab3e6d240e3ae97c85d1ec15b049ea237b
gperez2
  Tue Oct 14 14:53:11 2025 -0700
Edits to the Credits section regarding SpliceAI, refs #35100

diff --git src/hg/makeDb/trackDb/human/spliceImpactSuper.html src/hg/makeDb/trackDb/human/spliceImpactSuper.html
index ea2669ce8bd..e0ab97db475 100644
--- src/hg/makeDb/trackDb/human/spliceImpactSuper.html
+++ src/hg/makeDb/trackDb/human/spliceImpactSuper.html
@@ -229,33 +229,35 @@
 <br>
 <tt>bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/splicevardb/SVADB.bb
 	-chrom=chr21 -start=0 -end=100000000 stdout</tt>
 <br>
 <tt>bigWigToBedGraph -chrom=chr1 -start=100000 -end=100500
 	http://hgdownload.soe.ucsc.edu/gbdb/hg38/bbi/spliceAi/wildtype/spliceAiAcceptorMinus.bw
 	stdout</tt>
 <br>
 <br>
 These tools 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>.</p>
 
 <h2>Credits</h2>
 
-<p>Thanks to Illumina for making available SpliceAI, both the model and the precomputed data files.</p>
+<p>Thanks to Illumina for making SpliceAI available, both the model and the precomputed data files.</p>
 
-<p>Thanks to Francois Lecoquierre from the University of Oxford, Jean-Madeleine de Sainte Agathe from Institut Pasteur Paris and Michael Hiller from the Senckenberg Museum Frankfurt for suggesting and then creating the SpliceAI wildtype annotations.</p>
+<p>Thanks to Francois Lecoquierre from the University of Oxford, Jean-Madeleine de Sainte Agathe
+from Institut Pasteur Paris, and Michael Hiller from the Senckenberg Museum Frankfurt for
+suggesting and then creating the SpliceAI Wildtype annotations.</p>
 
 <p>Thanks to Nils Wagner for helpful comments and suggestions for the AbSplice track.</p>
 
 <p>Thanks to the SpliceVarDB team for converting the data into our data formats.</p>
 
 <h2>References</h2>
 <p>
 Jaganathan K, Kyriazopoulou Panagiotopoulou S, McRae JF, Darbandi SF, Knowles D, Li YI, Kosmicki JA,
 Arbelaez J, Cui W, Schwartz GB <em>et al</em>.
 <a href="https://linkinghub.elsevier.com/retrieve/pii/S0092-8674(18)31629-5" target="_blank">
 Predicting Splicing from Primary Sequence with Deep Learning</a>.
 <em>Cell</em>. 2019 Jan 24;176(3):535-548.e24.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/30661751" target="_blank">30661751</a>
 </p>