scikit-bio

Analyze biological data with sequence manipulation, alignment, and phylogenetic trees.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill scikit-bio-yezez9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scikit-bio
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/scikit-bio
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill scikit-bio-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive toolkit for biological data analysis, enabling users to perform complex bioinformatics tasks without needing to write low-level code.

Core Features & Use Cases

  • Sequence Analysis: Manipulate DNA, RNA, and protein sequences, perform alignments, and find motifs.
  • Phylogenetics: Construct, analyze, and visualize phylogenetic trees.
  • Diversity Metrics: Calculate alpha and beta diversity for ecological and microbiome data.
  • Ordination & Statistics: Reduce dimensionality and perform statistical tests on biological data.
  • File I/O: Read and write numerous biological file formats (FASTA, FASTQ, Newick, BIOM).
  • Use Case: Analyze microbiome data by reading a BIOM table, calculating UniFrac distances using a phylogenetic tree, 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 metrics for microbiome data?

This toolkit calculates alpha and beta diversity metrics for microbiome data by processing BIOM tables to compute Shannon diversity and UniFrac distances using phylogenetic trees.

What is the best way to perform ordination and statistical testing on biological sequence data?

Perform ordination and statistical testing on biological sequence data by applying Principal Coordinates Analysis (PCoA) for dimensionality reduction and PERMANOVA to test significant differences across sample groups.

Can I read and write biological file formats like FASTA, FASTQ, and Newick?

Yes, you can read and write biological file formats like FASTA, FASTQ, Newick, and BIOM. The toolkit provides File I/O functionality for microbiome, genomics, and evolutionary biology research.

How do I construct and visualize a phylogenetic tree in Python?

Construct and visualize a phylogenetic tree in Python using the phylogenetics functions to build, analyze, and render trees directly from Newick format inputs.

Does this sequence analysis toolkit support DNA, RNA, and protein alignment?

Yes, this sequence analysis toolkit supports DNA, RNA, and protein alignment. You can manipulate biological sequences, perform alignments, and find sequence motifs without writing low-level code.