Data & ReproStatistics & Data AnalysisK-Dense-AI/claude-scientific-skillsData & Reproduction
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scikit-bio

Maintainer K-Dense Inc. · Last updated April 1, 2026

scikit-bio is a comprehensive Python library for working with biological data. Apply this skill for bioinformatics analyses spanning sequence manipulation, alignment, phylogenetics, microbial ecology, and multivariate statistics.

Claude CodeOpenClawNanoClawAnalysisReproductionscikit-biogenomics-toolspackagegenomics tools

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scikit-bio

Maintainer
K-Dense Inc.
License
BSD-3-Clause license
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • scikit-bio is a comprehensive Python library for working with biological data. Apply this skill for bioinformatics analyses spanning sequence manipulation, alignment, phylogenetics, microbial ecology, and multivariate statistics.
  • seq = skbio.DNA.read('input.fasta').

Source Doc

Excerpt From SKILL.md

When to Use This Skill

This skill should be used when the user:

  • Works with biological sequences (DNA, RNA, protein)
  • Needs to read/write biological file formats (FASTA, FASTQ, GenBank, Newick, BIOM, etc.)
  • Performs sequence alignments or searches for motifs
  • Constructs or analyzes phylogenetic trees
  • Calculates diversity metrics (alpha/beta diversity, UniFrac distances)
  • Performs ordination analysis (PCoA, CCA, RDA)
  • Runs statistical tests on biological/ecological data (PERMANOVA, ANOSIM, Mantel)
  • Analyzes microbiome or community ecology data
  • Works with protein embeddings from language models
  • Needs to manipulate biological data tables

1. Sequence Manipulation

Work with biological sequences using specialized classes for DNA, RNA, and protein data.

Key operations:

  • Read/write sequences from FASTA, FASTQ, GenBank, EMBL formats
  • Sequence slicing, concatenation, and searching
  • Reverse complement, transcription (DNA→RNA), and translation (RNA→protein)
  • Find motifs and patterns using regex
  • Calculate distances (Hamming, k-mer based)
  • Handle sequence quality scores and metadata

Common patterns:

import skbio

## Sequence operations

rc = seq.reverse_complement()
rna = seq.transcribe()
protein = rna.translate()

Use cases

  • Works with biological sequences (DNA, RNA, protein).
  • Needs to read/write biological file formats (FASTA, FASTQ, GenBank, Newick, BIOM, etc.).
  • Performs sequence alignments or searches for motifs.
  • Constructs or analy.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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