How does it handle large sequence files?

It utilizes memory-efficient generators for reading large datasets, allowing you to process massive FASTA or FASTQ files without exhausting system memory.

Can I perform statistical testing on ecology data?

Absolutely, the skill includes specialized non-parametric tests like PERMANOVA, ANOSIM, and Mantel tests designed for biological distance matrices.

What types of biological sequences can this skill handle?

It supports DNA, RNA, and protein sequences with specialized classes that include validation and operations like transcription, translation, and reverse complement.

Does it support microbiome-specific file formats?

Yes, it provides robust support for BIOM (HDF5 and JSON) tables, FASTA, FASTQ, GenBank, and Newick tree formats.

Is it compatible with other Python data science libraries?

Yes, scikit-bio is built to integrate seamlessly with the broader scientific Python stack, including NumPy, Pandas, and Scikit-learn.

Scikit-bio Bioinformatics Toolkit

Name: Scikit-bio Bioinformatics Toolkit
Author: Zehong-Wang

byZehong-Wang

0•

Data Science & ML

Analyzes biological data including sequences, phylogenetic trees, and microbial community diversity using the scikit-bio Python library.

This skill integrates the comprehensive scikit-bio library into Claude, enabling advanced bioinformatics workflows directly within your development environment. It provides specialized support for sequence manipulation (DNA/RNA/Protein), phylogenetic tree construction, diversity analysis for microbiome research, and multivariate statistical testing like PERMANOVA. Whether you are processing FASTA files, calculating UniFrac distances, or performing PCoA ordinations, this skill offers the implementation patterns and best practices needed to handle complex biological datasets and community ecology metrics efficiently.

Key Features

01Phylogenetic tree construction (NJ, UPGMA) and evolutionary analysis

020 GitHub stars

03Statistical hypothesis testing for biological data including PERMANOVA and Mantel tests

04Microbial diversity metrics including alpha/beta diversity and UniFrac

05Sequence manipulation and format conversion (FASTA, FASTQ, GenBank, EMBL)

06Multivariate ordination methods like PCoA, CCA, and RDA for data visualization

Use Cases

01Performing pairwise or multiple sequence alignments and motif searching

02Analyzing microbiome community composition and ecological diversity metrics

03Constructing, pruning, and visualizing evolutionary trees from genetic distance matrices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos scikit-bio

For use in Claude.ai and ChatGPT

Download Skill