Skip to main content

Quantile-based peak calling from RPKM bigWig files

Project description

QuantNado

quantnado-call-peaks is a quantile-based peak caller for CUT&Tag or ChIP-seq RPKM-scaled bigWig files. It tiles the genome, extracts log1p-transformed signal, and outputs BED files of high-signal regions using quantile thresholding.

quantnado-make-dataset generates an .h5ad (AnnData) file representing signal matrices across defined regions, using signal from multiple bigWigs.


📦 Installation

Install from PyPI:

pip install quantnado

Requires Python ≥ 3.8


🚀 Usage

🔹 Call Peaks

quantnado-call-peaks \
  --bigwig-dir path/to/bigwigs/ \
  --output-dir path/to/output/ \
  --chromsizes path/to/hg38.chrom.sizes \
  --tilesize 128 \
  --quantile 0.98 \
  --merge \
  --blacklist path/to/hg38-blacklist.bed \
  --tmp-dir tmp/

This will:

  • Tile the genome in 128bp bins
  • Extract log1p(RPKM) signal from each bigWig file
  • Threshold each track at the 98th percentile (default)
  • Output BED files of high-signal bins per track

🔹 Make Dataset

quantnado-make-dataset \
  --bigwig-dir path/to/bigwigs/ \
  --output-file dataset.h5ad \
  --chromsizes path/to/hg38.chrom.sizes \
  --regions promoters_1024bp.bed \
  --blacklist hg38-blacklist.bed

If --regions is not provided, the genome will be tiled using --binsize (default: 128 bp).

The resulting .h5ad will contain:

  • .X: matrix of mean RPKM per region per bigwig
  • .obs: region metadata (chrom, start, end)
  • .var: track names (from bigWig filenames)

⚙️ Options

Option Description
--bigwig-dir Folder with .bw or .bigWig files
--chromsizes Tab-separated chrom.sizes file (chr\tlength)
--blacklist BED file of regions to exclude
--tilesize Genomic bin size for peak calling (default: 128 bp)
--quantile Quantile threshold for peaks (default: 0.98)
--merge Merge adjacent bins into broader peaks
--regions BED file of regions to extract signal over
--binsize Bin size used if --regions is not specified (default: 128)
--output-file Path to save .h5ad or .h5mu

📁 Output Files

Peak caller (quantnado-call-peaks)

  • *.bed: BED files of peaks for each bigwig

Dataset maker (quantnado-make-dataset)

  • .h5ad: AnnData file with signal matrix

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quantnado-0.2.4.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

quantnado-0.2.4-py3-none-any.whl (8.7 kB view details)

Uploaded Python 3

File details

Details for the file quantnado-0.2.4.tar.gz.

File metadata

  • Download URL: quantnado-0.2.4.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for quantnado-0.2.4.tar.gz
Algorithm Hash digest
SHA256 5c53cc6c6c72d3b1a497b9e3485de58a24c7e72705ded74ff7800bdd36e8f79b
MD5 bd491e788feb03e7cb77406d23fd7319
BLAKE2b-256 0c9eff4b4768892fe875223b61b6a7f6af1ae84b39ed5ac5ca8db971b7631bb2

See more details on using hashes here.

File details

Details for the file quantnado-0.2.4-py3-none-any.whl.

File metadata

  • Download URL: quantnado-0.2.4-py3-none-any.whl
  • Upload date:
  • Size: 8.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for quantnado-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 011a58c7dfcd15c2fea236956f15fb5e537f00a76a6d743953e1dc98bb14767b
MD5 3d6e28cebbd704ac8de46e9ca2e322bf
BLAKE2b-256 46197cbbe37969bfe640905af360772714dc653d199d209c3656060e5b994838

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page