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Bam Python Packages

Python packages with the GitHub topic bam. Sorted by monthly downloads, with stars and forks.
rhpvorderman
sequali

Fast sequencing data quality metrics

4K 38 2
dnncha
turbo-picard

Picard-compatible Rust tools for faster SAM/BAM/CRAM, VCF, duplicate-marking and sequencing-QC workflows.

3K 4 0
blockresearchgroup
compas-model

A universal model datastructure for design, analysis, fabrication, and construction

3K 10 3
sbslee
fuc

Frequently used commands in bioinformatics

2K 59 8
ronin-gw
pymasc

Python implementation to calc mappability-sensitive cross-correlation for fragment length estimation and quality control for ChIP-Seq.

1K 2 0
TRON-Bioinformatics
vafator

Annotate variants in a VCF file with technical annotations from one or more BAMs

900 10 0
ylab-hi
chimeralm

A language model enables accurate structural variant detection in whole-genome amplified long-read sequencing

238 4 0
cmdoret
htslurp

slurp noodles-htsget streams into python

232 1 0
AlexanderM-M
semantiseq

Semantic comparison for BAM/CRAM and VCF/BCF files, independent of record order, compression, and provenance metadata.

186 0 0
victormar1
rubam

Pure-Rust BAM/VCF/BCF depth, pileup, variants & stats with Python bindings — native Linux/macOS/Windows wheels, pysam-parity, no htslib.

179 5 0
qchiujunhao
bioartifact

Lightweight, agent-friendly inspection and contract validation for bioinformatics artifacts.

158 0 0
jpvich
biolic

A fast, modular, streaming bioinformatics toolkit in Rust for FASTQ/FASTA/BAM — a platform that grows through modules, with strong long-read support.

106 1 0
mbhall88
fast5seek

Subset of fast5 files contained in a fastq, BAM, or SAM file.

75 12 2
innovate-invent
bampy

Python implementation of htslib supporting BAM, SAM, and BGZF compression

40 1 0
AlexanderM-M
gendiff

Semantic comparison for BAM/CRAM and VCF/BCF files, independent of record order, compression, and provenance metadata.

3 0 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology