5e83632c91c1c536880da1e364a41467856135bd
markd
  Tue Sep 22 11:02:32 2026 -0700
Rename the TSS container and trim the ProCapNet description. refs #35528

Both labels on the transcriptionStart container are now "Transcription
Initiation (TSS)". Changed in proCapNetTrackDb and the two transcriptionStart.ra
files regenerated from it, since they are generated and carry a do-not-edit
header.

Dropped the Processing at UCSC section from the ProCapNet page. How the files
reached UCSC is not something a browser user needs; the makeDoc already records
it, including the NaN bases dropped from the hg38 predictions.

Replaced the Kundaje lab server link with the ENCODE portal. The six ENCODE
records are BPNet-model annotations holding the trained model, contribution
scores and predicted signal over a selected region set. The genome-wide
predictions in this track are roughly fifty times larger than the ENCODE
predicted-signal files and are not part of that release, so the page says so
rather than naming ENCODE as their source.

Claude-Session: https://claude.ai/code/session_01LAB6jWshLvB7eNXQKWVuW5

diff --git src/hg/makeDb/outside/proCapNet/proCapNetTrackDb src/hg/makeDb/outside/proCapNet/proCapNetTrackDb
index cf0e76e1463..4671744e4e8 100755
--- src/hg/makeDb/outside/proCapNet/proCapNetTrackDb
+++ src/hg/makeDb/outside/proCapNet/proCapNetTrackDb
@@ -79,32 +79,32 @@
         for exp in experiments:
             print(f"{exp.tissue}\t{exp.sampleClass}\t{getattr(exp, accField)}\t"
                   f"{downloadCell(db, track, exp)}\t{exp.cell}", file=fh)
 
 def writeColors(path):
     "swatches beside the facet checkboxes, keyed by the faceted column name"
     fileOps.ensureFileDir(path)
     with fileOps.AtomicFileOpen(path) as fh:
         json.dump({"Sample_class": SAMPLE_CLASS_COLORS}, fh, indent=4)
         print(file=fh)
 
 def superStanza():
     return stanza(0, [
         "track transcriptionStart",
         "superTrack on show",
-        "shortLabel TSS",
-        "longLabel Experimental and computational evidence for transcription start sites (TSS)",
+        "shortLabel Transcription Initiation (TSS)",
+        "longLabel Transcription Initiation (TSS)",
         "group rna",
     ])
 
 def compositeStanza(db, track, shortLabel, longLabel, dataTypes, accUrl, priority):
     gbdb = GBDB.format(db=db, track=track)
     return stanza(4, [
         f"track {track}",
         "parent transcriptionStart",
         "compositeTrack faceted",
         "type bigWig",
         f"shortLabel {shortLabel}",
         f"longLabel {longLabel}",
         f"metaDataUrl {gbdb}/metadata.tsv",
         f"colorSettingsUrl {gbdb}/colors.json",
         "primaryKey Cell_line",