208 bioinformatics skills for Claude Code — NGS, single-cell, metagenomics, structural biology, algorithms, AI for science
Pavel-Kravchenko/Bioinformatics
Skill Claude CodeCodex
Vectorize bioinformatics math with NumPy — RPKM/CPM/TPM normalization, per-gene z-scores, broadcasting over genes x samples matrices, position weight matrices (PWM/PSSM) for motif scoring, and O(n) sliding-window GC content via cumsum. Use when normalizing count matrices, computing per-row/per-column statistics on…
Pavel-Kravchenko/Bioinformatics
Skill Claude CodeCodex
Build Python classes with getitem/contains/call/slots and mixins for sequence databases, sliceable sequences, motif scorers, low-memory variants. Use for custom bio classes or dunder/OOP/slots code.
Pavel-Kravchenko/Bioinformatics
Skill Claude CodeCodex
Apply //, %, and 'in' operators to DNA/protein data — codon math, reading frames, GC precedence, stop-codon lookups. Use when computing GC content, finding reading frames, filtering by QC, or fixing precedence bugs.
Pavel-Kravchenko/Bioinformatics
Skill Claude CodeCodex
Manipulate bio DataFrames with pandas — loc/iloc selection, boolean/query filtering, groupby agg vs transform, left-join annotation merges, CSV/TSV expression-matrix I/O, wide/long melt. Use when indexing/filtering a gene or sample table, merging expression data with an annotation or clinical table, computing…
Pavel-Kravchenko/Bioinformatics
Skill Claude CodeCodex
Foundational Python for biology - count nucleotides, compute GC content, use f-strings/loops/functions, and set up biopython/pandas/numpy via pip/venv/conda. Use when a beginner asks how to start with Python for bioinformatics, write a first DNA-parsing script, calculate GC content from a raw string, or install…
Pavel-Kravchenko/Bioinformatics
Skill Claude CodeCodex
Match DNA/RNA/protein patterns with Python re — ORFs, restriction sites, IUPAC primers, PROSITE motifs, FASTA headers. Use when finding start/stop codons, tandem repeats, or parsing headers/BLAST output with regex.
Pavel-Kravchenko/Bioinformatics
Skill Claude CodeCodex
Manipulate DNA/RNA/protein sequences as raw Python strings: reverse complement via str.maketrans/translate, transcription, codon/ORF extraction, motif and restriction-site scanning with find()/re, and hand-rolled FASTA parsing without Biopython. Use when writing sequence utilities from scratch, debugging off-by-one…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: