scikit-bio

Analyze biological sequences, phylogenetics, and diversity with Python.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/JosephWoodall/noosphere --skill scikit-bio-josephwoodall
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scikit-bio
Source: https://github.com/JosephWoodall/noosphere/tree/main/.agent/skills/scikit-bio
Command: npx skills add https://github.com/JosephWoodall/noosphere --skill scikit-bio-josephwoodall

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Large-scale biological data analysis requires a cohesive set of tools for sequences, phylogenetics, diversity metrics, and data I/O. scikit-bio provides a comprehensive Python library that unifies these capabilities, enabling researchers to perform end-to-end analyses without switching tools.

Core Features & Use Cases

  • Sequence manipulation, alignment, and motif searching for DNA, RNA, and protein data.
  • Phylogenetic tree construction, distance metrics, and tree visualization to study evolutionary relationships.
  • Diversity analysis (alpha and beta) and ordination (PCoA) with integration to BIOM tables and common file formats.
  • File I/O and format conversion across FASTA/FASTQ/GenBank/Newick/BIOM, facilitating reproducible workflows.

Quick Start

Load a sample BIOM table and compute alpha diversity, then run a PCoA ordination.

Frequently Asked Questions about scikit-bio

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compute alpha and beta diversity for microbiome data?

To compute alpha and beta diversity for microbiome data, load your dataset into a BIOM table and apply the built-in statistical functions. This yields robust diversity metrics for analyzing ecological communities.

What is the best way to perform ordination like PCoA on biological data?

The best way to perform PCoA ordination on biological data is to integrate your sample data with BIOM tables to calculate distance matrices. This visualizes ecological similarities and differences across samples.

How do I parse and convert common bioinformatics file formats like FASTA and GenBank?

To parse and convert bioinformatics file formats like FASTA, FASTQ, GenBank, and Newick, use the comprehensive file I/O API. This facilitates reproducible workflows by ensuring seamless format conversion.

Can I construct and visualize phylogenetic trees from sequence data?

Constructing and visualizing phylogenetic trees from sequence data is fully supported through built-in distance metrics and tree visualization tools. This allows researchers to study evolutionary relationships directly.

Does scikit-bio support sequence manipulation and motif searching for DNA and RNA?

Yes, scikit-bio supports sequence manipulation, alignment, and motif searching for DNA, RNA, and protein data. This provides researchers with essential tools for detailed genetic sequence analysis.