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GitHub

bio-population-genetics-scikit-allel-analysis

GPTomics

Python population genetics with scikit-allel. Read VCF files, compute allele frequencies, calculate diversity statistics, perform PCA, and run selection scans using GenotypeArray and HaplotypeArray data structu...

GitHub

bio-pdb-geometric-analysis

GPTomics

Perform geometric calculations on protein structures using Biopython Bio.PDB. Use for measuring distances, angles, and dihedrals, finding neighbor atoms, superimposing structures, calculating RMSD, identifying...

GitHub

bio-population-genetics-selection-statistics

GPTomics

Detect signatures of natural selection using Fst, Tajima's D, iHS, XP-EHH, and other selection statistics. Calculate population differentiation, test for departures from neutrality, and identify selective sweep...

GitHub

bio-de-edger-basics

GPTomics

Perform differential expression analysis using edgeR in R/Bioconductor. Use for analyzing RNA-seq count data with the quasi-likelihood F-test framework, creating DGEList objects, normalization, dispersion estim...

GitHub

bio-primer-design-primer-validation

GPTomics

Validate PCR primers for specificity, dimers, hairpins, and secondary structures using primer3-py thermodynamic calculations. Check self-complementarity, heterodimer formation, and 3' stability.

GitHub

bio-hi-c-analysis-hic-data-io

GPTomics

Load, convert, and manipulate Hi-C contact matrices using cooler format. Read .cool/.mcool files, convert from .hic format, access matrix data, and export to different formats.

GitHub

bio-sequence-properties

GPTomics

Calculate sequence properties like GC content, molecular weight, isoelectric point, and GC skew using Biopython. Use when analyzing sequence composition, computing physical properties, or comparing sequences.

GitHub

bio-genome-intervals-coverage-analysis

GPTomics

Calculate read depth and coverage across genomic intervals using bedtools genomecov and coverage. Generate bedGraph files, compute per-base depth, and summarize coverage statistics. Use when assessing sequencin...

GitHub

bio-motif-search

GPTomics

Find patterns, motifs, and subsequences in biological sequences using Biopython. Use when searching for transcription factor binding sites, regulatory elements, or any sequence pattern. For restriction enzyme a...

GitHub

bio-spatial-transcriptomics-spatial-data-io

GPTomics

Load spatial transcriptomics data from Visium, Xenium, MERFISH, Slide-seq, and other platforms using Squidpy and SpatialData. Read Space Ranger outputs, convert formats, and access spatial coordinates.

GitHub

bio-basecalling

GPTomics

Convert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado or Guppy basecallers. Covers model selection, GPU acceleration, modified base detection, and quality filtering. Use when proces...

GitHub

bio-hi-c-analysis-tad-detection

GPTomics

Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure.

GitHub

bio-metabolomics-lipidomics

GPTomics

Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classe...

GitHub

bio-pdb-structure-modification

GPTomics

Modify protein structures using Biopython Bio.PDB. Use for transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, renumbering residues, and building stru...

GitHub

bio-workflows-metabolomics-pipeline

GPTomics

End-to-end metabolomics workflow from raw MS data to pathway analysis. Orchestrates XCMS preprocessing, annotation, normalization, statistical analysis, and pathway mapping.

GitHub

bio-metabolomics-targeted-analysis

GPTomics

Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves a...

GitHub

bio-pdb-structure-io

GPTomics

Parse and write protein structure files using Biopython Bio.PDB. Use for reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, extracting header information, and writing structures to variou...

GitHub

bio-metabolomics-msdial-preprocessing

GPTomics

MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and export for downstream analysis. Use when processing MS-DIAL output files for R/Python analysis...

GitHub

bio-metabolomics-metabolite-annotation

GPTomics

Metabolite identification from m/z and retention time. Covers database matching, MS/MS spectral matching, and confidence level assignment. Use when assigning compound identities to detected features in untarget...

GitHub

bio-proteomics-ptm-analysis

GPTomics

Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Covers site localization, motif analysis, and quantitative PTM analysis. Use when analyzing phosphoproteomic...

GitHub

bio-crispr-screens-hit-calling

GPTomics

Statistical methods for calling hits in CRISPR screens. Covers MAGeCK, BAGEL2, drugZ, and custom approaches for identifying essential and resistance genes. Use when identifying significant genes from screen cou...

GitHub

bio-workflows-cnv-pipeline

GPTomics

End-to-end copy number variant detection workflow from BAM files. Covers CNVkit analysis for exome/targeted sequencing with visualization and annotation.

GitHub

bio-imaging-mass-cytometry-spatial-analysis

GPTomics

Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing. Use when analyzing spatial relationships between cell types, testing for...

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.

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