skills.rest
robotlearning123
robotlearning123COMMUNITY
Explore all skills by this author →
𝕏@wan73184085GitHub

scikit-bio

Employs Python to manipulate, analyze and visualize biological data for bioinformatics workflows.

Updated Dec 17, 2025
Search Tags:#bioinformatics#alignment#sequence analysis#ordination#phylogenetics#diversity analysis#statistical testing
One-click install
npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill scikit-bio-robotlearning123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scikit-bio
Source: https://github.com/robotlearning123/claude-scientific-skills/tree/main/scientific-skills/scikit-bio
Command: npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill scikit-bio-robotlearning123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scikit-bio, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive toolkit for bioinformatics analyses, enabling users to manipulate, analyze, and visualize biological data efficiently.

Core Features & Use Cases

  • Sequence Manipulation: Read, write, and manipulate DNA, RNA, and protein sequences.
  • Alignment: Perform pairwise and multiple sequence alignments.
  • Phylogenetic Trees: Construct, manipulate, and analyze phylogenetic trees.
  • Diversity Analysis: Calculate alpha and beta diversity metrics for microbial ecology.
  • Ordination: Reduce high-dimensional biological data to lower-dimensional spaces.
  • Statistical Testing: Perform hypothesis tests on ecological and biological data.
  • File I/O: Read and write various biological file formats.
  • Distance Matrices: Create and manipulate distance/dissimilarity matrices.
  • Biological Tables: Work with feature tables (OTU/ASV tables) in microbiome research.
  • Protein Embeddings: Work with protein language model embeddings.
  • Use Case: Analyze a microbiome dataset by calculating alpha diversity metrics, performing ordination analysis, and visualizing the results.

Quick Start

Use the scikit-bio skill to calculate the Shannon entropy of alpha diversity for your dataset.

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 diversity metrics like Shannon entropy for a microbiome dataset?▼

To calculate alpha diversity metrics like Shannon entropy for a microbiome dataset, use this Skill to process biological tables and compute diversity indices directly. It handles the underlying math to deliver quick analytical results.

Can I perform sequence alignment and phylogenetic tree analysis in Python?▼

Yes, you can perform sequence alignment and phylogenetic tree analysis in Python. This Skill supports pairwise and multiple sequence alignments, alongside constructing and manipulating phylogenetic trees for bioinformatics workflows.

What is the best way to reduce high-dimensional biological data for ordination analysis?▼

The best way to reduce high-dimensional biological data for ordination analysis is using this Skill's built-in ordination capabilities. It transforms complex datasets into lower-dimensional spaces for easier visualization and interpretation.

Does this Skill support reading and writing various biological file formats?▼

Yes, this Skill supports reading and writing various biological file formats. It provides comprehensive file I/O capabilities to manipulate DNA, RNA, and protein sequences, as well as distance matrices and biological tables.

How do I run statistical testing on ecological and biological data?▼

You can run statistical testing on ecological and biological data by applying the hypothesis testing functions within this Skill. It performs tests directly on distance matrices and biological tables to validate your research hypotheses.

Can I work with protein language model embeddings for sequence analysis?▼

Yes, you can work with protein language model embeddings for sequence analysis. This Skill includes capabilities to manipulate and integrate protein embeddings alongside standard DNA, RNA, and protein sequence manipulations.

Related Skills

Explore More Data & Analytics Skills→
fuzzy-dynamicsfuzzy-dynamics
1

scikit-bio

Perform end-to-end biological data analyses in Python with scikit-bio.

Official
Advanced
Estrella-231Estrella-231

scikit-bio

Compute diversity, ordination, and statistical summaries from sequence-derived inputs.

Community
Advanced
tassiovaletassiovale
13

scikit-bio

Manipulate biological sequences, alignments, trees, and diversity metrics in Python.

Community
Advanced
Imad-OuteImad-Oute

scikit-bio

Analyze DNA, RNA, and protein sequences with alignment and phylogenetic tree construction.

Community
Advanced