AI导哈

数据与研究

polars-bio

k-dense-ai/scie…t-skills

Performs genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.

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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill polars-bio

SKILL.md

polars-bio

Use this skill for genomic interval arithmetic and bioinformatics file I/O through Polars and DataFusion. It targets polars-bio 0.36.0, tested with Polars 1.44.2 on Python 3.13. The upstream package requires Polars >=1.37.1, PyArrow >=23.0.1,<25, DataFusion >=53,<54 and polars-config-meta >=0.3.2,<1. Keep this environment separate from packages needing incompatible Arrow or DataFusion releases.

uv pip install "polars-bio==0.36.0" "polars==1.44.2"
# Optional pandas interoperability (requires pandas >=3):
uv pip install "polars-bio[pandas]==0.36.0" "polars==1.44.2"

Verify new releases against the official release notes and package requirements. The examples below with named files are templates: substitute actual files and check their schemas. The synthetic interval example and small local format round trips were executed during this review.

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