bio-chipseq-visualization
Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal a…
Maintainer K-Dense Inc. · Last updated April 1, 2026
polars-bio is a high-performance Python library for genomic interval operations and bioinformatics file I/O, built on Polars, Apache Arrow, and Apache DataFusion. It provides a familiar DataFrame-centric API for interval arithmetic (overlap, nearest, merge, coverage, complement, subtract) and reading/writing common bioinformatics formats (BED, VCF, BAM, CRAM, GFF/GTF, FASTA, FASTQ). Key value propositions: - **6-38x….
Original source
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/polars-bio
Skill Snapshot
Source Doc
Use this skill when:
import polars as pl
import polars_bio as pb
## Create two interval DataFrames
df1 = pl.DataFrame({
"chrom": ["chr1", "chr1", "chr1"],
"start": [1, 5, 22],
"end": [6, 9, 30],
})
df2 = pl.DataFrame({
"chrom": ["chr1", "chr1"],
"start": [3, 25],
"end": [8, 28],
})
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