Search

PythonReactSEOPDF

GPTomics AI Skills

GitHub ↗

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-gwas-pipeline

GPTomics

End-to-end GWAS workflow from VCF to association results. Covers PLINK QC, population structure correction, and association testing for case-control or quantitative traits.

GitHub

bio-genome-assembly-metagenome-assembly

GPTomics

Metagenome assembly from long reads using metaFlye and metaSPAdes with binning strategies. Use when reconstructing genomes from microbial communities, recovering metagenome-assembled genomes (MAGs), or resolvin...

GitHub

bio-single-cell-doublet-detection

GPTomics

Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering to avoid ar...

GitHub

bio-methylation-bismark-alignment

GPTomics

Bisulfite sequencing read alignment using Bismark with bowtie2/hisat2. Handles genome preparation and produces BAM files with methylation information. Use when aligning WGBS, RRBS, or other bisulfite-converted...

GitHub

bio-multi-omics-data-harmonization

GPTomics

Preprocessing and harmonization of multi-omics data before integration. Covers normalization, batch correction, feature alignment, and missing value handling across data types.

GitHub

bio-compressed-files

GPTomics

Read and write compressed sequence files (gzip, bzip2, BGZF) using Biopython. Use when working with .gz or .bz2 sequence files. Use BGZF for indexable compressed files.

GitHub

bio-flow-cytometry-compensation-transformation

GPTomics

Spillover compensation and data transformation for flow cytometry. Covers compensation matrix calculation, application, and biexponential/arcsinh transforms. Use when correcting spectral overlap between fluorop...

GitHub

bio-population-genetics-population-structure

GPTomics

Analyze population structure using PCA and admixture analysis with PLINK and ADMIXTURE. Identify population clusters, assess ancestry proportions, visualize genetic structure, and choose optimal K for admixture...

GitHub

bio-vcf-basics

GPTomics

View, query, and understand VCF/BCF variant files using bcftools and cyvcf2. Use when inspecting variants, extracting specific fields, or understanding VCF format structure.

GitHub

bio-single-cell-batch-integration

GPTomics

Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences.

GitHub

bio-microbiome-diversity-analysis

GPTomics

Alpha and beta diversity analysis for microbiome data. Calculate within-sample richness, evenness, and between-sample dissimilarity with phyloseq and vegan. Use when comparing community composition across sampl...

GitHub

bio-chipseq-qc

GPTomics

ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discovery Rate) for replicate concordance. Use...

GitHub

bio-longread-structural-variants

GPTomics

Detect structural variants from long-read alignments using Sniffles, cuteSV, and SVIM. Use when detecting deletions, insertions, inversions, translocations, or complex rearrangements from ONT or PacBio data, es...

GitHub

bio-alignment-io

GPTomics

Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis...

GitHub

bio-single-cell-scatac-analysis

GPTomics

Single-cell ATAC-seq analysis with Signac (R/Seurat) and ArchR. Process 10X Genomics scATAC data, perform QC, dimensionality reduction, clustering, peak calling, and motif activity scoring with chromVAR.

GitHub

bio-consensus-sequences

GPTomics

Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus. Use when creating sample-specific reference sequences or reconstructing haplotypes.

GitHub

bio-pileup-generation

GPTomics

Generate pileup data for variant calling using samtools mpileup and pysam. Use when preparing data for variant calling, analyzing per-position read data, or calculating allele frequencies.

GitHub

bio-read-qc-quality-filtering

GPTomics

Filter reads by quality scores, length, and N content using Trimmomatic and fastp. Apply sliding window trimming, remove low-quality bases from read ends, and discard reads below thresholds. Use when reads have...

GitHub

bio-variant-calling-joint-calling

GPTomics

Joint genotype calling across multiple samples using GATK CombineGVCFs and GenotypeGVCFs. Essential for cohort studies, population genetics, and leveraging VQSR.

GitHub

bio-phylo-tree-manipulation

GPTomics

Modify phylogenetic tree structure using Biopython Bio.Phylo. Use for rooting trees with outgroups or midpoint, pruning taxa, collapsing clades, ladderizing branches, and extracting subtrees.

GitHub

bio-atac-seq-footprinting

GPTomics

Detect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS. Use when identifying TF occupancy patterns within accessible regions, as TF binding protects DNA from Tn5 c...

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.