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GPTomics AI Skills

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Browse published AI skills maintained by GPTomics. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

269

Repository stars across indexed skills

80,661

Repository forks

13,719

Average repository stars per indexed skill

300

Repository stars may repeat across skills from the same repository.

269 skills

Browse skills

GitHub

bio-workflows-proteomics-pipeline

GPTomics

End-to-end proteomics workflow from MaxQuant output to differential protein abundance. Orchestrates data import, normalization, imputation, and statistical testing with MSstats or limma.

GitHub

bio-pdb-structure-navigation

GPTomics

Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model. Use for accessing models, chains, residues, and atoms, iterating over structure levels, extracting sequences, identifying residue types,...

GitHub

bio-data-visualization-genome-tracks

GPTomics

Create genome browser-style visualizations showing multiple data tracks (coverage, peaks, genes) using pyGenomeTracks, Gviz, and IGV. Use when visualizing genomic data at specific loci with multiple aligned tra...

GitHub

bio-chipseq-visualization

GPTomics

Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal around peaks, TSS, or custom regions.

GitHub

bio-read-alignment-star-alignment

GPTomics

Align RNA-seq reads with STAR (Spliced Transcripts Alignment to a Reference). Use for RNA-seq data requiring splice-aware alignment. Supports two-pass mode for novel splice junction discovery.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.