Analyze biological sequences for microbiome and ecological data interpretation.
npx skills add https://github.com/jackspace/ClaudeSkillz --skill scikit-bio
Please help me install this Agent Skill. Skill: scikit-bio Source: https://github.com/jackspace/ClaudeSkillz/tree/main/skills/scientific-pkg-scikit-bio Command: npx skills add https://github.com/jackspace/ClaudeSkillz --skill scikit-bio
scikit-bio provides a comprehensive Python library for working with biological data, enabling sequence manipulation, alignments, phylogenetics, diversity analysis, and multivariate statistics.
Demonstrate reading a FASTA file, performing a simple alignment, building a tree, and computing a basic diversity metric.
High-intent search queries and answers about installing and using this skill.
scikit-bio reads FASTA, FASTQ, GenBank, and Newick formats natively. Load sequences using the library's I/O functions, which return sequence objects for immediate manipulation, alignment, and analysis without manual parsing.
scikit-bio supports global and local sequence alignments, multiple sequence alignment storage, phylogenetic tree construction and traversal. Combine alignment results with tree-building functions to analyze evolutionary relationships in your microbiome datasets.
scikit-bio computes alpha and beta diversity, UniFrac distances, and PCoA ordination directly from sequence and abundance data. Run rarefaction, PERMANOVA, and ANOSIM tests to assess community structure and statistical significance.
scikit-bio handles DNA-to-protein translation, reverse complements, and sequence manipulation. Search for motifs and calculate distance metrics like Hamming and k-mer to characterize sequence variation and functional elements.
Yes. scikit-bio includes PERMANOVA, ANOSIM, and Mantel tests for multivariate statistical analysis. These tests work on distance matrices and metadata to detect significant differences between sample groups.
scikit-bio stores and manipulates multiple sequence alignments, deriving consensus sequences and alignment statistics. These outputs integrate seamlessly with phylogenetic and diversity analysis workflows.
qinyan-aiAnalyze biological data with scikit-bio for sequence manipulation, phylogenetics, and diversity analysis.
tassiovaleManipulate biological sequences, alignments, trees, and diversity metrics in Python.
galeepPerform bioinformatics sequence manipulation, alignment, and diversity analysis with scikit-bio.
superfhpAccess bioinformatics skills for genomic, transcriptomic, and metagenomic analysis.
