scikit-bio

Analyze biological data with Python for sequences, phylogenetics, and statistics.

557|98|Updated Nov 7, 2025
One-click install
npx skills add https://github.com/jimmc414/Kosmos --skill scikit-bio-jimmc414
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scikit-bio
Source: https://github.com/jimmc414/Kosmos/tree/main/kosmos-claude-scientific-skills/scientific-skills/scikit-bio
Command: npx skills add https://github.com/jimmc414/Kosmos --skill scikit-bio-jimmc414

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive Python toolkit for biological data analysis, streamlining complex bioinformatics tasks from sequence manipulation to statistical testing.

Core Features & Use Cases

  • Sequence Analysis: Process DNA, RNA, and protein sequences, perform alignments, and handle biological file formats.
  • Phylogenetics & Diversity: Construct phylogenetic trees and calculate ecological diversity metrics.
  • Statistical Testing & Ordination: Apply advanced statistical tests and dimensionality reduction techniques to biological data.
  • Use Case: Analyze microbiome data by calculating alpha and beta diversity, performing PCoA, and testing for significant differences between sample groups using PERMANOVA.

Quick Start

Use the scikit-bio skill to calculate the Shannon diversity for the provided counts matrix.

Frequently Asked Questions about scikit-bio

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

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

You can calculate microbiome diversity metrics by applying statistical testing and ordination techniques to biological data counts. This includes computing Shannon diversity and performing PCoA to visualize sample group differences using PERMANOVA.

What is the best way to construct phylogenetic trees from DNA sequences?

Constructing phylogenetic trees involves processing DNA, RNA, and protein sequences to build evolutionary relationships. This bioinformatics toolkit performs sequence manipulation and alignment to generate trees for evolutionary research.

Can I perform statistical testing and ordination on biological data?

Yes, you can apply advanced statistical tests and dimensionality reduction techniques to biological data. This supports ordination methods like PCoA and group difference testing using PERMANOVA for genomic and microbiome research.

Does this bioinformatics toolkit support common biological file formats?

This bioinformatics toolkit supports various biological file formats for sequence analysis and manipulation. It integrates with common data science tools to handle genomic and microbiome data processing.

How do I analyze sequence data and perform alignments?

Analyzing sequence data requires processing DNA, RNA, and protein sequences and performing alignments. This toolkit streamlines these complex bioinformatics tasks while handling various biological file formats.