9eb4e0937782954c19d664e7d384d210bffb3b25
max
  Sat Jun 13 16:01:42 2026 -0700
lrSv: QA fixes from Lou's review - dedup, shared color palette, deCODE/AoU cleanup

- Drop kwanhoSv (KimPD) from the lrSvAll merge in databases.tsv; it stays on
dev/alpha until published, which also removes its >5 Mb breakend artifacts
from the merged track.
- Remove searchIndex from colorsDbSv, lrSv1kLin and lrSvAll (and the merge
generator): the bigBeds were built without a name index, so by-name search
never worked.
- Single shared per-SV-type color palette in lrSvCommon.py (svColor), used by
every converter and the merge. CPX is purple everywhere (was orange in
1kgOnt/apr/cpc1, colliding with INV's orange), colorsDb DEL is 200,0,0 like
the rest, and TRA/INSDEL get their own colors.
- deCODE: drop byte-identical duplicate rows and blank the fake AC=50
placeholder (AC is now a string field, omitted from the name and mouseOver).
- AoU: numeric-entity-encode non-ASCII gene/trait text and drop duplicate rows.
- gustafson, chirmade101, hprc2v21: drop byte-identical duplicate rows.
- lrSvMergeAll.py: skip byte-identical duplicate source rows instead of summing
their allele counts, which had inflated the per-database and total AC.

refs #36258

diff --git src/hg/makeDb/scripts/lrSv/lrSvCpc1VcfToBed.py src/hg/makeDb/scripts/lrSv/lrSvCpc1VcfToBed.py
index 277bc06d601..252c2a8ef17 100755
--- src/hg/makeDb/scripts/lrSv/lrSvCpc1VcfToBed.py
+++ src/hg/makeDb/scripts/lrSv/lrSvCpc1VcfToBed.py
@@ -1,245 +1,237 @@
 #!/usr/bin/env python3
 """Convert the CPC+HPRC Phase 1 pangenome VCF (on T2T-CHM13v2) to a
 bed9+7 table for the lrSv/cpc1Sv track, RECOMPUTING AC/AN/NS using only
 the 58 CPC (Chinese Pangenome Consortium) sample columns and dropping
 snarls with no CPC carriers.
 
 The input VCF is produced by vcfwave/bcftools norm from a pangenome
 graph, so:
   * contigs are named "CHM13v2.chrN"
   * variant IDs are graph snarl traversals like ">2541>2547"
   * REF and ALT are always explicit sequences (no symbolic ALTs)
   * each snarl may appear as several rows, one per decomposed alt allele
   * the 105 sample columns are 47 HPRC (HG*, NA*) + 58 CPC (HIFI032*, RY*)
 
 Pipeline:
   1. Parse the #CHROM header to identify the 58 CPC sample column indices
      by prefix (HIFI032* or RY*).
   2. Strip the "CHM13v2." contig prefix for hs1 chrom names.
   3. For each VCF row, read the GT field for each CPC sample and compute
      CPC-only AC (count of "1" alleles), AN (count of non-missing alleles),
      and NS (CPC samples with at least one called allele).
   4. Classify each alt allele by length delta d = len(ALT)-len(REF):
          d >= +50   -> INS
          d <= -50   -> DEL
          |d| < 50 and max(len) >= 50 -> CPX
          otherwise  -> dropped (below 50bp threshold)
   5. Drop rows where CPC AC == 0 (HPRC-specific alts).
   6. Collapse all remaining alts sharing the same snarl ID into one output row:
          svType = that class if all alts agree, else MIXED
          svLen  = reference span (chromEnd - chromStart)
          insLen = max inserted-sequence length for INS alts (0 otherwise)
          AC     = sum of per-alt CPC AC
          alleleNumber = CPC AN
          alleleFreq   = AC / alleleNumber
          numSamples   = CPC NS
 
 Usage:
     lrSvCpc1VcfToBed.py input.vcf.gz output.bed chrom.sizes
 """
 
 import gzip
 import os
 import sys
 
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-from lrSvCommon import svName, normalizeSvType
-
-# Colors per SV type
-COLORS = {
-    "INS": "0,0,200",       # blue
-    "DEL": "200,0,0",       # red
-    "CPX": "230,140,0",     # orange
-    "MIXED": "120,120,120", # grey
-}
+from lrSvCommon import svName, normalizeSvType, svColor
 
 SIZE_THRESHOLD = 50
 
 
 def is_cpc_sample(name):
     """CPC samples are HIFI032* (Chinese, 47) and RY* (Chinese, 11)."""
     return name.startswith("HIFI032") or name.startswith("RY")
 
 
 def classify(ref_len, alt_len):
     d = alt_len - ref_len
     if d >= SIZE_THRESHOLD:
         return "INS", d
     if d <= -SIZE_THRESHOLD:
         return "DEL", -d
     if max(ref_len, alt_len) >= SIZE_THRESHOLD:
         return "CPX", max(ref_len, alt_len)
     return None, 0
 
 
 def compute_cpc_counts(gt_cols):
     """Return (ac, an, ns) across the given CPC GT strings for a single alt."""
     ac = 0
     an = 0
     ns = 0
     for gt in gt_cols:
         # GT may be "0|0", "1|0", ".|1", ".|.", "0/1", etc.
         has_called = False
         for a in gt.replace("/", "|").split("|"):
             if a == ".":
                 continue
             an += 1
             has_called = True
             if a == "1":
                 ac += 1
         if has_called:
             ns += 1
     return ac, an, ns
 
 
 def emit(site, fout):
     classes = site["types"]
     sv_type = next(iter(classes)) if len(classes) == 1 else "MIXED"
     sv_type = normalizeSvType(sv_type)
-    rgb = COLORS.get(sv_type, "120,120,120")
+    rgb = svColor(sv_type)
     chrom = site["chrom"]
     start = site["pos0"]
     end = start + max(site["ref_len"], 1)
     af = (site["ac_sum"] / site["an"]) if site["an"] else 0.0
     score = min(1000, max(0, int(round(af * 1000))))
     svLen = end - start
     insLen = site["max_ins"] if sv_type == "INS" else 0
     featLen = insLen if sv_type in ("INS", "MEI") else svLen
     name = svName(sv_type, featLen, site["ac_sum"])
     row = [
         chrom, str(start), str(end),
         name,
         str(score),
         ".",
         str(start), str(end),
         rgb,
         sv_type,
         str(svLen),
         str(insLen),
         str(site["ac_sum"]),
         str(site["num_alts"]),
         str(site["an"]),
         f"{af:.6f}",
         str(site["ns"]),
     ]
     fout.write("\t".join(row) + "\n")
 
 
 def main():
     if len(sys.argv) < 4:
         sys.exit("usage: lrSvCpc1VcfToBed.py input.vcf.gz output.bed chrom.sizes")
     in_file = sys.argv[1]
     out_file = sys.argv[2]
     sizes_file = sys.argv[3]
 
     chrom_sizes = {}
     with open(sizes_file) as f:
         for line in f:
             c, s = line.strip().split("\t")
             chrom_sizes[c] = int(s)
 
     opener = gzip.open if in_file.endswith(".gz") else open
 
     cpc_col_idx = None  # set when we parse #CHROM header
 
     prev_key = None
     site = None
     kept_rows = 0
     dropped_small = 0
     dropped_no_cpc_carrier = 0
     dropped_chrom = 0
     flushed_sites = 0
 
     with opener(in_file, "rt") as fin, open(out_file, "w") as fout:
         for line in fin:
             if line.startswith("##"):
                 continue
             if line.startswith("#CHROM"):
                 # Sample columns start at index 9.
                 cols = line.rstrip("\n").split("\t")
                 sample_names = cols[9:]
                 cpc_col_idx = [
                     9 + i for i, n in enumerate(sample_names) if is_cpc_sample(n)
                 ]
                 print(f"CPC samples found: {len(cpc_col_idx)}", file=sys.stderr)
                 if len(cpc_col_idx) == 0:
                     sys.exit("ERROR: no CPC sample columns (HIFI032* or RY*) detected")
                 continue
 
             if cpc_col_idx is None:
                 sys.exit("ERROR: data line before #CHROM header")
 
             f = line.rstrip("\n").split("\t")
             chrom_raw, pos, vid, ref, alt = f[0], f[1], f[2], f[3], f[4]
 
             if chrom_raw.startswith("CHM13v2."):
                 chrom = chrom_raw[len("CHM13v2."):]
             else:
                 chrom = chrom_raw
             if chrom not in chrom_sizes:
                 dropped_chrom += 1
                 continue
 
             ref_len = len(ref)
             alt_len = len(alt)
             sv_type, mag = classify(ref_len, alt_len)
             if sv_type is None:
                 dropped_small += 1
                 continue
 
             # Extract CPC GTs and compute AC/AN/NS
             gt_cols = [f[i] for i in cpc_col_idx]
             ac, an, ns = compute_cpc_counts(gt_cols)
             if ac == 0:
                 dropped_no_cpc_carrier += 1
                 continue
 
             pos0 = int(pos) - 1
             key = (chrom, pos0, vid)
             if key != prev_key:
                 if site is not None:
                     emit(site, fout)
                     flushed_sites += 1
                 site = {
                     "chrom": chrom,
                     "pos0": pos0,
                     "ref_len": ref_len,
                     "name": vid,
                     "types": set(),
                     "svlen": 0,
                     "max_ins": 0,
                     "num_alts": 0,
                     "ac_sum": 0,
                     "an": an,
                     "ns": ns,
                 }
                 prev_key = key
 
             site["types"].add(sv_type)
             if mag > site["svlen"]:
                 site["svlen"] = mag
             if sv_type == "INS":
                 d = alt_len - ref_len
                 if d > site["max_ins"]:
                     site["max_ins"] = d
             site["num_alts"] += 1
             site["ac_sum"] += ac
             if an > site["an"]:
                 site["an"] = an
             if ns > site["ns"]:
                 site["ns"] = ns
             kept_rows += 1
 
         if site is not None:
             emit(site, fout)
             flushed_sites += 1
 
     print(f"kept alt rows (CPC carrier):   {kept_rows}", file=sys.stderr)
     print(f"dropped no CPC carrier:        {dropped_no_cpc_carrier}", file=sys.stderr)
     print(f"dropped <{SIZE_THRESHOLD}bp alt rows: {dropped_small}", file=sys.stderr)
     print(f"dropped bad chrom:             {dropped_chrom}", file=sys.stderr)
     print(f"output sites:                  {flushed_sites}", file=sys.stderr)
 
 
 if __name__ == "__main__":
     main()