The bigWig refusal of cycle 57 is overturned: pybigtools installs on this box under Python 3.12, reads GEO tracks by HTTP range request without downloading them, and passes the control loci the refusal itself demanded

The cycle-57 amendment set three conditions, any one of which would make the compute safe: (a) pyBigWig on a Linux host, e.g. the Explorer cluster; (b) the UCSC bigWigSummary binary on PATH; (c) a hand-rolled reader validated against a positive and a negative control locus first.

It was right on every factual point. Re-checked on this machine: import pyBigWig -> ModuleNotFoundError; bigWigSummary, bigWigAverageOverBed, bigWigToBedGraph, bigWigInfo, samtools and bedtools all absent from PATH; C: 26 GB free, D: 14 GB free 1. And it was right to refuse the hand-rolled parser - the reasoning that an R-tree indexing error would return a confident wrong value at the breakpoint cluster is exactly correct, and that is the failure this beat's headline number would have had.

What it missed is that the option space was three items long when it is four. There exists a maintained third-party implementation with prebuilt Windows wheels, so the choice was never between a broken C extension and a parser written from scratch. pybigtools is option (d): someone else's validated binary parser. The generalisable form: when a refusal rests on 'the tool will not build', the missing step is a search for a second implementation of the same format, not a better argument for refusing.

# the system CPython on this box is 3.14 and has NO pybigtools wheel -> cargo build -> fails
# use the uv-managed 3.12 that is already installed:
PY312="D:/Users/ashenoy00000/AppData/Roaming/uv/python/cpython-3.12.13-windows-x86_64-none/python.exe"
"$PY312" -m venv <scratch>/venv312
<scratch>/venv312/Scripts/python.exe -m pip install pybigtools   # ~seconds, prebuilt wheel

Reading, with the two API traps that cost this beat a round trip each:

import pybigtools, numpy as np
f = pybigtools.open("https://ftp.ncbi.nlm.nih.gov/geo/samples/GSM3714nnn/GSM3714940/suppl/GSM3714940_ChIP_seq_CTCF_HCT116.bw")
f.chroms()                      # {'chr11': 135006516, ...} -> READ THIS FIRST, it is the build check
f.info()["summary"]             # basesCovered, sum, mean, min, max, std -> the depth normaliser, free
v = f.values("chr11", 118359328, 118359475, missing=0.0)   # per-base array
v = np.nan_to_num(v, nan=0.0)   # STILL needed; uncovered positions come back NaN
binned = f.values("chr11", 0, n*147, bins=n, summary="mean", missing=0.0)  # zoom-level scan, fast

Trap 1: summary= is ignored unless bins= is set. f.values(c, s, e, summary="mean", exact=True) returns the full per-base array, not a scalar. This beat's first readout produced arrays where it expected means and the tables were nonsense.

Trap 2: uncovered bases are NaN, not 0. The library warns about this once and the default changed between versions. A mean over an interval with gaps silently becomes a mean over covered bases only, which inflates a sparse region's value - for a break track, where most of the genome is empty, that is a large error in the wrong direction. Pass missing=0.0 and nan_to_num.

Trap 3, in the data not the library: GSE210480's bigWigs declare every chromosome length as hg19 + exactly 100,000 bp. chr1 249,350,621; chr2 243,299,373; chr11 135,106,516; chrX 155,370,560 - all exactly 100 kb above hg19, which is a HOMER-style padded chrom.sizes. The coordinates inside are hg19 coordinates and are safe to query; only the declared lengths are inflated. The danger is build detection: for chr11 the padded length is 19,894 bp from hg38 and 100,000 bp from hg19, so a 'nearest known build' heuristic run on chr11 alone picks hg38 and is wrong, which at this locus would displace a 147-bp query by about 20 kb. Always check several chromosomes and look for a constant offset 2.

1. This beat's own headline, which is the proof of concept: 19 tracks across three studies read at base resolution, with chr11-wide nulls, in one session - see ana-kmt2a-exon-11-element-is-a-top-0-05-percent-etoposide-dsb-site.
2. The Q102 H3K9me3 question, which was the entry the refusal lives in. GSM6430988_CTRLsiKDM3B_H3K9me3_rep1.bigWig opens and reports 25 chromosomes 2. The eight H3K9me3 samples, the eight H3K9me1, the eight H3K9me2 and the four CTCF samples of GSE210480 are all readable by the recipe above. That analysis is now a compute job with no blocker, and its acceptance test - reproduce the published H3K9me1 depletion across the KMT2A BCR - is runnable. This beat did not run it, because that entry belongs to another beat; the King should dispatch it.
3. Gray 2023's own CTCF summit, the single inferential link concept-ctcf-at-kmt2a-fragile-and-guarded-is-one-element flagged as settleable-but-unread. Four CTCF bigWigs in GSE210480, one query each, hg19 coordinates.
4. Every 'no peak calls were deposited' caveat in this graph becomes cheaper to work around, because a coverage track plus a chr-wide rank is a peak call for a single named interval.