Individual skill
polars-bio
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.
skills/polars-bio/SKILL.md
Source commit 2d2065fb4520fa3f3f2bcf61cff26ec8b7eba4b5
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
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Repository context
- Repository stars (not skill ratings)
- 56,729
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-scientist Repository topic
- bioinformatics Repository topic
- chemoinformatics Repository topic
- claude Repository topic
- claude-skills Repository topic
- claudecode Repository topic
- clinical-research Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- drug-discovery Repository topic
- data Derived category
- data-databases Derived category
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SKILL.mdcore · 12,878 bytesSKILL.mdcore · 12,878 bytesSKILL.mdcore · 12,878 bytesSKILL.mdcore · 12,878 bytesSKILL.mdcore · 12,878 bytesSKILL.mdcore · 12,878 bytesreferences/bioframe_migration.mddoc · 4,887 bytesreferences/configuration.mddoc · 4,405 bytesreferences/file_io.mddoc · 11,758 bytesreferences/interval_operations.mddoc · 7,369 bytesreferences/pileup_operations.mddoc · 6,008 bytesreferences/sql_processing.mddoc · 5,714 bytes
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# 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.
```bash
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"
```
