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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-atacseq-pipeline

GPTomics

End-to-end ATAC-seq workflow from FASTQ files to differential accessibility and TF footprinting. Covers alignment, peak calling with MACS3, QC metrics, and optional TOBIAS footprinting.

GitHub

bio-population-genetics-association-testing

GPTomics

Genome-wide association studies (GWAS) with PLINK. Perform case-control and quantitative trait association testing using logistic/linear regression with covariates, generate Manhattan and QQ plots for result vi...

GitHub

bio-phasing-imputation-imputation-qc

GPTomics

Quality control of phasing and imputation results. Filter by INFO scores, assess accuracy, and prepare imputed data for downstream analysis. Use when filtering low-quality imputed variants or validating imputat...

GitHub

bio-variant-calling

GPTomics

Call SNPs and indels from aligned reads using bcftools mpileup and call. Use when detecting variants from BAM files or generating VCF from alignments.

GitHub

bio-workflows-multi-omics-pipeline

GPTomics

End-to-end multi-omics integration workflow. Orchestrates data harmonization, MOFA/mixOmics integration, factor interpretation, and downstream analysis across transcriptomics, proteomics, metabolomics, and othe...

GitHub

bio-flow-cytometry-clustering-phenotyping

GPTomics

Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discovering cell populations in high-dimensional cytometry data without...

GitHub

bio-alignment-statistics

GPTomics

Generate alignment statistics using samtools flagstat, stats, depth, and coverage. Use when assessing alignment quality, calculating coverage, or generating QC reports.

GitHub

bio-longread-medaka

GPTomics

Polish assemblies and call variants from Oxford Nanopore data using medaka. Uses neural networks trained on specific basecaller versions. Use when improving ONT-only assemblies or calling variants from Nanopore...

GitHub

bio-phasing-imputation-reference-panels

GPTomics

Download, prepare, and manage reference panels for phasing and imputation. Covers 1000 Genomes, HRC, and TOPMed panels. Use when setting up imputation infrastructure or selecting appropriate reference panels fo...

GitHub

bio-read-qc-fastp-workflow

GPTomics

All-in-one read preprocessing with fastp including adapter trimming, quality filtering, deduplication, base correction, and HTML report generation. Use when preprocessing Illumina data and wanting a single fast...

GitHub

bio-alignment-filtering

GPTomics

Filter alignments by flags, mapping quality, and regions using samtools view and pysam. Use when extracting specific reads, removing low-quality alignments, or subsetting to target regions.

GitHub

bio-reference-operations

GPTomics

Generate consensus sequences and manage reference files using samtools. Use when creating consensus from alignments, indexing references, or creating sequence dictionaries.

GitHub

bio-imc-interactive-annotation

GPTomics

Interactive cell type annotation for IMC data. Covers napari-based annotation, marker-guided labeling, training data generation, and annotation validation. Use when manually annotating cell types for training c...

GitHub

bio-workflows-chipseq-pipeline

GPTomics

End-to-end ChIP-seq workflow from FASTQ files to annotated peaks. Covers QC, alignment, peak calling with MACS3, and peak annotation with ChIPseeker.

GitHub

bio-methylation-dmr-detection

GPTomics

Differentially methylated region (DMR) detection using methylKit tiles, bsseq BSmooth, and DMRcate. Use when identifying contiguous genomic regions with methylation differences between experimental conditions o...

GitHub

bio-flow-cytometry-cytometry-qc

GPTomics

Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying...

GitHub

bio-copy-number-gatk-cnv

GPTomics

Call copy number variants using GATK best practices workflow. Supports both somatic (tumor-normal) and germline CNV detection from WGS or WES data. Use when following GATK best practices or integrating CNV call...

GitHub

bio-genome-intervals-proximity-operations

GPTomics

Find nearest features, search within windows, and extend intervals using closest, window, flank, and slop operations. Use when performing TSS proximity analysis, assigning enhancers to genes, defining promoter...

GitHub

bio-chip-seq-super-enhancers

GPTomics

Identifies super-enhancers from H3K27ac ChIP-seq data using ROSE and related tools. Use when studying cell identity genes, cancer-associated regulatory elements, or master transcription factor binding regions t...

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.