scikit-bio

Analyze biological data with scikit-bio for sequences, diversity, and phylogenetics.

298|27|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill scikit-bio-jaechang-hits
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scikit-bio
Source: https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/genomics-bioinformatics/scikit-bio
Command: npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill scikit-bio-jaechang-hits

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scikit-bio, biom-format, matplotlib, seaborn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines complex biological data analysis, from sequence manipulation and alignment to phylogenetic tree construction and diversity metrics, making advanced bioinformatics accessible.

Core Features & Use Cases

  • Sequence Analysis: Process DNA, RNA, and protein sequences, including alignment and motif finding.
  • Diversity Metrics: Calculate alpha and beta diversity for microbiome and ecological studies.
  • Phylogenetics: Construct and analyze phylogenetic trees.
  • Statistical Testing: Perform PERMANOVA, ANOSIM, and Mantel tests on ecological data.
  • Use Case: Analyze microbiome data by calculating alpha and beta diversity, constructing a phylogenetic tree, and performing PERMANOVA to test for differences between sample groups.

Quick Start

Use the scikit-bio skill to calculate the Shannon diversity for the provided count data.

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 alpha and beta diversity for microbiome data by applying specialized metrics to biological count data. This Skill computes diversity metrics like Shannon diversity directly using integrated data structures.

How do I perform PERMANOVA and ANOSIM statistical testing on ecological data?

You can perform PERMANOVA and ANOSIM statistical testing on ecological data by applying these tests to evaluate sample group differences. This Skill executes statistical testing using specialized biological data structures.

Can I construct and analyze phylogenetic trees using Python?

Yes, you can construct and analyze phylogenetic trees using Python. This Skill provides functionalities for phylogenetic tree construction and analysis, supporting advanced bioinformatics workflows alongside sequence manipulation and alignment.

Does scikit-bio work with BIOM format data for community ecology analysis?

Yes, scikit-bio works with BIOM format data for community ecology analysis. It integrates the biom-format package to support specialized data structures, enabling seamless microbiome analysis and statistical testing.

What is the best way to process DNA, RNA, and protein sequences for alignment and motif finding?

The best way to process DNA, RNA, and protein sequences for alignment and motif finding is using a comprehensive Python library for biological data analysis. This Skill streamlines sequence manipulation and alignment tasks.

Can I visualize diversity metrics results using matplotlib and seaborn?

Yes, you can visualize diversity metrics results using matplotlib and seaborn. This Skill integrates with these dependencies to support plotting and visualizing data from microbiome and ecological studies.