Analyze biological sequences and diversity metrics in Python.
npx skills add https://github.com/crazymsn/academic-skills --skill scikit-bio-crazymsn
Please help me install this Agent Skill. Skill: scikit-bio Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/scikit-bio Command: npx skills add https://github.com/crazymsn/academic-skills --skill scikit-bio-crazymsn
Researchers need a cohesive Python library to manipulate DNA/RNA/Protein sequences, perform alignments, build phylogenetic trees, compute diversity metrics, and handle common file formats in bioinformatics workflows.
Install scikit-bio and load a sample FASTA file to perform a basic sequence count.
High-intent search queries and answers about installing and using this skill.
FASTA file parsing and sequence manipulation in Python is handled by loading the biological data into sequence objects, allowing you to perform translations, calculate distances, and prepare data for downstream workflows.
Computing diversity metrics and building phylogenetic trees in a single Python library is supported, providing cohesive APIs for phylogenetic analysis, diversity calculations, and Newick tree generation within microbiology research pipelines.
Handling BIOM format files for diversity analysis is best achieved by using dedicated file I/O APIs that read and write biological data, integrating seamlessly with standard Python data tools for downstream processing.
FASTQ format reading and writing is fully supported alongside FASTA, Newick, and BIOM formats, enabling comprehensive file I/O for sequencing data within genomics and microbiology research pipelines.
Generating a phylogenetic tree from DNA sequence alignments involves loading sequences, calculating distances, and using phylogenetic analysis APIs to construct and visualize the tree structures.
Integrating biological sequence manipulation with standard Python data tools is a core feature, allowing researchers to load sequencing formats like FASTA and transition smoothly into downstream data analysis workflows.
pur3v4d3rAnalyze biological sequences and phylogenetic data with scikit-bio.
Hung-3008Analyze biological sequences, phylogenies, and diversity metrics in Python.
yf8578Analyze biological data with Python for sequences, phylogenetics, and diversity metrics.
Imad-OuteAnalyze DNA, RNA, and protein sequences with alignment and phylogenetic tree construction.
