65189b08b3a2b7efe27670b30379feb200187541
lrnassar
  Fri Apr 17 09:14:07 2026 -0700
Link accession column to ENCODE portal for ENCODE4 Regulation bigComposites. refs #34923

Add subtrackUrl https://www.encodeproject.org/files/$$/ to all 6 hg38 and mm10
bigComposite tracks (Epigenetics, RnaSeq, TfChip). The new trackDb setting
(refs #36320 note 157) replaces $$ with the value from the primaryKey column,
making each accession in the configuration table a clickable link to the
corresponding file details page on the ENCODE portal. Also added a note in the
Data Access section of each composite's HTML, and updated both makedocs.

diff --git src/hg/makeDb/doc/hg38/encode4.regulation.txt src/hg/makeDb/doc/hg38/encode4.regulation.txt
index f7eb3e10839..1ab4b5e8688 100644
--- src/hg/makeDb/doc/hg38/encode4.regulation.txt
+++ src/hg/makeDb/doc/hg38/encode4.regulation.txt
@@ -1,348 +1,366 @@
 # ENCODE4 Integrated Regulation Track (wgEncodeReg4) for hg38
 # Redmine #34923
 # Lou Nassar, 2026-03-12 (updated 2026-04-10)
 
 # This track converts the ENCODE V4 Regulation hub into a native UCSC browser
 # supertrack containing organ-averaged multiWig signal tracks, TF rPeak clusters,
 # and individual experiment composites (bigComposite/faceted format) for
 # epigenetics, RNA-seq, and TF ChIP-seq.
 
 # The original hub was prepared by Mingshi Gao (Weng lab, UMass Chan Medical School):
 #   https://users.wenglab.org/gaomingshi/ENCODE_Reg/hub.txt
 # It was cloned locally for processing:
 #   /hive/data/outside/encode4/ccre/ENCODE_V4_Regulation/hub.txt
 
 # Scripts are located at:
 #   kent/src/hg/makeDb/scripts/encode4regulation/
 
 ##############################################################################
 # Step 1: Clone the hub data locally
 ##############################################################################
 
 # The hub was cloned with hubClone -download:
 mkdir -p /hive/data/outside/encode4/ccre
 cd /hive/data/outside/encode4/ccre
 hubClone -download https://users.wenglab.org/gaomingshi/ENCODE_Reg/hub.txt \
     ENCODE_V4_Regulation
 
 # Total data: ~5.6 TB across ~7,000 files (bigWig + bigBed)
 
 ##############################################################################
 # Step 2: Create gbdb symlinks for organ-averaged multiWig files
 ##############################################################################
 
 # Only organ-averaged multiWig files and TF rPeak files need gbdb symlinks.
 # Individual experiment tracks use S3 URLs directly.
 
 mkdir -p /gbdb/hg38/encode4/regulation/organAve
 cd /hive/data/outside/encode4/ccre/ENCODE_V4_Regulation
 
 # Symlinks were created using rename_symlinks.py which maps hub filenames
 # to UCSC convention (camelCase, .bw extension):
 #   ave.adipose.H3K27ac.bigWig -> adiposeH3K27ac.bw  (all-biosamples)
 #   tp.blood.H3K27ac.bigWig -> tpBloodH3K27ac.bw     (tissue-only)
 #   adrenal_gland.minus.bigWig -> adrenalGlandMinus.bw (RNA strand)
 #   tp.blood.plus.bigWig -> tpBloodPlus.bw            (RNA tp strand)
 
 # TF rPeak clusters (from existing ENCODEv4TFrPeaks bed)
 mkdir -p /gbdb/hg38/encode4/regulation/tfRpeak
 ln -s /hive/data/genomes/hg38/bed/ENCODEv4TFrPeaks/no_trim.TF_name.rPeaks.bb \
     /gbdb/hg38/encode4/regulation/tfRpeak/TFrPeakClusters.bb
 ln -s /hive/data/genomes/hg38/bed/ENCODEv4TFrPeaks/no_trim.TF_name.decorator.bb \
     /gbdb/hg38/encode4/regulation/tfRpeak/TFrPeakClustersDecorator.bb
 
 # Symlink summary:
 #   organAve/  363 symlinks (113 tissue-only + 250 all-biosamples/RNA)
 #   tfRpeak/     2 symlinks
 #   Total:     365 symlinks + 5 metadata/JSON files + 1 nose DNase = 371 files
 
 ##############################################################################
 # Step 2b: Download tissue-only (tp) organ-averaged files (2026-04-08)
 ##############################################################################
 
 # The initial hub had a bug where tissue-only and all-biosamples variants pointed
 # to the same file. The Weng lab fixed this in April 2026 with proper separate
 # tp.{organ}.{Assay}.bigWig files. These were downloaded and symlinked:
 
 cd /hive/users/lrnassar/claude/RM34923
 bash download_tp_files.sh    # downloads 83 tp bigWig files (~733 GB)
 bash create_tp_symlinks.sh   # creates 83 symlinks: tp{Organ}{Assay}.bw
 
 # Also downloaded 1 new file: ave.nose.DNase.bigWig (nose organ added to hub)
 # Removed 1 orphan: lymphoidTissueDNase.bw (hub removed from all-bio group)
 # Renamed 2 old symlinks: boneMarrowTpH3K27ac.bw -> tpBoneMarrowH3K27ac.bw
 #                          boneMarrowTpH3K4me3.bw -> tpBoneMarrowH3K4me3.bw
 
 ##############################################################################
 # Step 3: Validate local files against ENCODE portal
 ##############################################################################
 
 # Run the validation script to verify md5sums of local files against the
 # ENCODE REST API and generate S3 URL mapping for bigComposite tracks.
 
 cd /hive/users/lrnassar/claude/RM34923
 python3 kent/src/hg/makeDb/scripts/encode4regulation/validate_encode_urls.py
 
 # This produces:
 #   encode4_url_mapping.tsv  — maps accessions to S3 URLs with md5 validation
 #   encode4_validation.log   — detailed log of any mismatches
 # All S3 URLs verified accessible via bigWigInfo/bigBedInfo (0 failures).
 
 ##############################################################################
 # Step 4: Generate multiWig trackDb stanzas
 ##############################################################################
 
 # The multiWig organ-averaged tracks (H3K27ac, DNase, ATAC, H3K4me3, CTCF, Txn)
 # are generated from the hub.txt and assembled into the main wgEncodeReg4.ra.
 
 cd /hive/users/lrnassar/claude/RM34923
 python3 kent/src/hg/makeDb/scripts/encode4regulation/generate_multiwig_ra.py \
     > multiwig_output.ra
 
 # The output was manually integrated into wgEncodeReg4.ra along with:
 #   - SuperTrack definition (priority 0.9, group=regulation)
 #   - TF rPeak track (bigBed 12+ with decorator, 911-factor filterValues)
 #   - Include directives for the 3 bigComposite files
 # The main file is hand-maintained:
 #   kent/src/hg/makeDb/trackDb/human/hg38/wgEncodeReg4.ra (~3,461 lines)
 
 # multiWig track details:
 #   wgEncodeReg4MarkH3k27ac — full visibility (priority 1.4)
 #   wgEncodeReg4Dnase       — hidden (priority 1.1)
 #   wgEncodeReg4Atac        — hidden (priority 1.2)
 #   wgEncodeReg4MarkH3k4me3 — hidden (priority 1.3)
 #   wgEncodeReg4MarkCtcf    — hidden (priority 1.5)
 #   wgEncodeReg4Txn         — hidden (priority 1.6)
 #   wgEncodeReg4TfPeaks     — hidden (priority 1.7)
 
 # Each multiWig has tissue-only subtracks first, then all-biosamples subtracks.
 # Tissue-only subtracks use tp{Organ}{Assay}.bw gbdb symlinks pointing to
 # tp.{organ}.{Assay}.bigWig files (genuine tissue/primary cell averages).
 # All-biosamples subtracks use {organ}{Assay}.bw symlinks pointing to
 # ave.{organ}.{Assay}.bigWig files (averages including cell lines).
 #
 # Subtrack counts per assay (tissue-only + all-biosamples):
 #   H3K27ac: 17 + 38 = 55
 #   DNase:   24 + 40 = 64
 #   ATAC:     8 + 26 = 34
 #   H3K4me3: 19 + 38 = 57
 #   CTCF:    15 + 36 = 51
 #   RNA:     30 + 72 = 102 (strand pairs: Plus/Minus)
 
 ##############################################################################
 # Step 5: Generate bigComposite (faceted) individual experiment tracks
 ##############################################################################
 
 # The three individual experiment composites use the new bigComposite/faceted
 # format (refs #36320). This was a two-step process:
 #
 # Step 5a: Generate traditional composites from hub
 #   generate_composites.py parses hub.txt and creates compositeTrack-on-style
 #   .ra files with subGroups, views, dimensions, etc.
 #
 # Step 5b: Convert to bigComposite faceted format
 #   convert_to_bigcomposite.py reads those .ra files, strips subGroups/views,
 #   adds metaDataUrl + primaryKey, generates metadata TSVs, and uses S3 URLs
 #   from the validation mapping (Step 3).
 
 cd /hive/users/lrnassar/claude/RM34923
 python3 kent/src/hg/makeDb/scripts/encode4regulation/generate_composites.py
 python3 kent/src/hg/makeDb/scripts/encode4regulation/convert_to_bigcomposite.py
 
 # This overwrites the .ra files in place and creates metadata TSVs:
 #   /gbdb/hg38/encode4/regulation/wgEncodeReg4Epigenetics_metadata.tsv
 #   /gbdb/hg38/encode4/regulation/wgEncodeReg4RnaSeq_metadata.tsv
 #   /gbdb/hg38/encode4/regulation/wgEncodeReg4TfChip_metadata.tsv
 #
 # Output .ra files (in kent/src/hg/makeDb/trackDb/human/hg38/):
 #   wgEncodeReg4Epigenetics.ra — 6,353 subtracks (3,199 signal + 3,154 peak)
 #     Facets: Assay, Organ, Biosample Type, Life Stage, Data Type
 #   wgEncodeReg4RnaSeq.ra      — 1,046 subtracks
 #     Facets: Organ, Biosample Type, Life Stage, Strand
 #   wgEncodeReg4TfChip.ra      — 4,964 subtracks (2,502 peak + 2,462 signal)
 #     Facets: TF, Organ, Biosample Type, Life Stage, Data Type
 #
 # Faceted UI features:
 #   - _Biosample column hidden from facets via underscore prefix (refs #36320)
 #   - All facet values capitalized (e.g., "Cell line", "Adult")
 #   - longLabels cleaned: underscores replaced with spaces for readability
 #   - colorSettingsUrl for facet color indicators:
 #     Epigenetics: colored by Assay (epi_colors.json)
 #     RnaSeq: colored by Organ (organ_colors.json)
 #     TfChip: no facet colors (uses score-based spectrum coloring)
 #
 # Default-ON subtracks (tissue samples per Weng lab request):
 #   Epigenetics (28): brain/heart/liver × 5 assays × signal+peak
 #     Brain: middle frontal area 46, mild cognitive impairment, male 89y (4 assays, no ATAC)
 #     Heart: right atrium auricular region, female 51y (5 assays)
 #     Liver: right lobe, female 53y (5 assays)
 #   RNA-seq (6): brain/heart/liver × Plus+Minus strand
 #     Brain: dorsolateral prefrontal cortex, female 75y
 #     Heart: right atrium auricular region, female 51y
 #     Liver: right lobe, female 53y
 #   TF ChIP (8): brain/heart/liver tissue CTCF + liver POLR2A
 #
 # All subtracks use S3 URLs (encode-public.s3.amazonaws.com) for bigDataUrl.
 
 ##############################################################################
 # Step 5c: Track color adjustments
 ##############################################################################
 
 # Organ colors follow the Weng lab canonical color mapping:
 #   https://wiki.wenglab.org/references/color-mappings/
 # 18 colors were darkened for contrast against white browser background while
 # preserving hue (canonical colors designed for dark portal background).
 # 1 organ previously using default gray was given its canonical color:
 #   urinary bladder: 194,33,39
 # Color mapping wiki linked in Display Conventions of all multiWig HTML pages.
 
 ##############################################################################
 # Step 5d: Biosample column cleanup (2026-04-08)
 ##############################################################################
 
 # The _Biosample column in the Epigenetics metadata TSV had redundant
 # assay+type suffixes on peak entries (e.g., "Homo sapiens A549 ATAC peak").
 # This information is already in the Assay and Data Type columns.
 # Removed suffixes from 3,154 entries using:
 
 cd /hive/users/lrnassar/claude/RM34923
 python3 -c "
 import re
 with open('/gbdb/hg38/encode4/regulation/wgEncodeReg4Epigenetics_metadata.tsv') as f:
     lines = f.readlines()
 out = [lines[0]]
 for line in lines[1:]:
     cols = line.rstrip('\n').split('\t')
     if len(cols) >= 6:
         cols[5] = re.sub(r' (ATAC|CTCF|DNase|H3K27ac|H3K4me3) peak$', '', cols[5])
     out.append('\t'.join(cols) + '\n')
 with open('/gbdb/hg38/encode4/regulation/wgEncodeReg4Epigenetics_metadata.tsv', 'w') as f:
     f.writelines(out)
 "
 
 ##############################################################################
 # Step 6: Create HTML description pages
 ##############################################################################
 
 # 11 HTML files in kent/src/hg/makeDb/trackDb/human/hg38/:
 #   wgEncodeReg4.html                — SuperTrack overview
 #   wgEncodeReg4MarkH3k27ac.html     — H3K27ac layered signal
 #   wgEncodeReg4Dnase.html           — DNase layered signal
 #   wgEncodeReg4Atac.html            — ATAC layered signal
 #   wgEncodeReg4MarkH3k4me3.html     — H3K4me3 layered signal
 #   wgEncodeReg4MarkCtcf.html        — CTCF layered signal
 #   wgEncodeReg4Txn.html             — Transcription layered signal
 #   wgEncodeReg4TfPeaks.html         — TF rPeaks
 #   wgEncodeReg4Epigenetics.html     — Individual epigenetics composite
 #   wgEncodeReg4RnaSeq.html          — Individual RNA-seq composite
 #   wgEncodeReg4TfChip.html          — Individual TF ChIP composite
 #
 # Each layered track HTML includes an organ/tissue availability table.
 # All HTMLs include Data Access sections with bigWigToWig/bigBedToBed examples.
 # Production lab credits are assay-specific, matching the upstream hub.
 # ENCODE color mapping wiki linked in Display Conventions sections.
 
 ##############################################################################
 # Step 7: Add related tracks, trackDb include, ENCODE3 rename
 ##############################################################################
 
 # Added to kent/src/hg/makeDb/trackDb/human/hg38/trackDb.ra:
 #   include wgEncodeReg4.ra alpha
 
 # Added reciprocal entries to relatedTracks.ra:
 #   hg38 wgEncodeReg4 wgEncodeReg Previous ENCODE3 Regulation track
 #   hg38 wgEncodeReg wgEncodeReg4 New ENCODE4 Regulation track
 #   hg38 wgEncodeReg4 cCREs Related ENCODE4 cCRE annotations
 #   hg38 cCREs wgEncodeReg4 Related ENCODE4 regulation data
 # Note: track1's "why" text describes track2 (the link destination).
 
 # ENCODE3 renamed to "ENCODE3 Regulation" via alpha release tags:
 #   wgEncodeReg.alpha.ra: shortLabel "ENCODE3 Regulation", snowflake pennant
 
 ##############################################################################
 # Step 8: Release tags (ENCODE3 transition)
 ##############################################################################
 
 # On alpha (dev): ENCODE4 visible, ENCODE3 hidden with snowflake
 # On beta/public: ENCODE3 visible as-is, ENCODE4 not visible
 #
 # Approach: Duplicate wgEncodeReg.ra into wgEncodeReg.alpha.ra with:
 #   - superTrack on hide (hidden by default)
 #   - shortLabel "ENCODE3 Regulation"
 #   - pennantIcon snowflake.png (deprecation notice)
 #   - Inner includes tagged with release alpha
 # The original wgEncodeReg.ra gets inner includes tagged beta,public.
 # Key: inner include directives must also carry release tags.
 #
 # trackDb.ra includes:
 #   include wgEncodeReg.ra beta,public
 #   include wgEncodeReg.alpha.ra alpha
 #   include wgEncodeReg4.ra alpha
 
 ##############################################################################
 # Step 9: Load trackDb
 ##############################################################################
 
 cd /cluster/home/lrnassar/kent/src/hg/makeDb/trackDb
 
 # Sandbox (personal testing):
 make DBS=hg38
 
 # Dev (hgwdev):
 make alpha DBS=hg38
 
 ##############################################################################
 # Step 10: Cleanup — delete local ENCFF files (now S3-served)
 ##############################################################################
 
 # Individual experiment files (ENCFF*.bigWig, ENCFF*.bigBed) and ?proxy=TRUE
 # download artifacts were deleted from the source hub directory, since they
 # are now served via S3 URLs. Only the organ-averaged multiWig files
 # (referenced by gbdb symlinks) and hub.txt/HTML docs were preserved.
 #
 # hg38: Deleted 7,598 files (3.6 TB freed)
 
 ##############################################################################
 # Step 10: Default sort by experiment to group peak/signal pairs (2026-04-13)
 ##############################################################################
 
 # The Epigenetics and TF ChIP bigComposite tracks each contain both peak and
 # signal subtracks for the same experiments. To group these pairs adjacent in
 # the configure page, added an _Experiment column to the metadata TSVs
 # containing the ENCSR experiment accession (extracted from shortLabel in the
 # .ra stanzas). The underscore prefix hides it from facet filters.
 # Added defaultSortField _Experiment to the 2 composite stanzas.
 # Also fixed pre-existing CRLF line endings in the Epigenetics metadata TSV.
 #
 # Composites updated:
 #   wgEncodeReg4Epigenetics: 3,152 peak/signal pairs + 49 singletons
 #   wgEncodeReg4TfChip:      2,461 peak/signal pairs + 42 singletons
 # RNA-seq not changed (signal only, no peak/signal pairing).
 
+##############################################################################
+# Step 11: Link accession column to ENCODE portal (2026-04-17)
+##############################################################################
+
+# Jonathan added a new trackDb setting 'subtrackUrl' for faceted composites
+# (refs #36320, note 157). The setting takes a URL pattern where '$$' is
+# replaced with the value from the primaryKey column of the metadata TSV.
+# When set, the primary-key column on the track configuration page becomes
+# a clickable hyperlink.
+#
+# Since our primaryKey is 'accession' (an ENCFF file accession), added:
+#   subtrackUrl https://www.encodeproject.org/files/$$/
+# to all 3 hg38 bigComposites (Epigenetics, RnaSeq, TfChip).
+#
+# Also appended a sentence in the Data Access section of each composite's
+# HTML noting that clicking any accession leads to the corresponding file
+# details page on the ENCODE portal.
+
 ##############################################################################
 # Track hierarchy and disk usage summary
 ##############################################################################
 
 # Regulation group priority order: cCREs (0.8) > wgEncodeReg4 (0.9) > wgEncodeReg (1)
 #
 # wgEncodeReg4 (superTrack, priority 0.9, group=regulation)
 # ├── wgEncodeReg4MarkH3k27ac (multiWig, full)                     priority 1.4
 # ├── wgEncodeReg4Dnase       (multiWig, hide)                     priority 1.1
 # ├── wgEncodeReg4Atac        (multiWig, hide)                     priority 1.2
 # ├── wgEncodeReg4MarkH3k4me3 (multiWig, hide)                     priority 1.3
 # ├── wgEncodeReg4MarkCtcf    (multiWig, hide)                     priority 1.5
 # ├── wgEncodeReg4Txn         (multiWig, hide)                     priority 1.6
 # ├── wgEncodeReg4TfPeaks     (bigBed 12+ with decorator, hide)    priority 1.7
 # ├── wgEncodeReg4Epigenetics (bigComposite faceted, 6,353, 28 ON) priority 2.0
 # ├── wgEncodeReg4RnaSeq      (bigComposite faceted, 1,046, 6 ON)  priority 2.1
 # └── wgEncodeReg4TfChip      (bigComposite faceted, 4,964, 8 ON)  priority 2.2
 
 # Disk usage (/gbdb/hg38/encode4/regulation/):
 #   organAve tp (tissue-only):    1.8 TB (113 files)
 #   organAve ave (all-bio + RNA): 2.6 TB (250 files)
 #   tfRpeak:                      3 GB (2 files)
 #   metadata + JSON:              3 MB (5 files)
 #   nose DNase:                   680 MB (1 file)
 #   Total:                        4.4 TB (371 files)
 
 # File list: /hive/users/lrnassar/claude/RM34923/gbdb_file_list.txt