Explore our collection of 28 Snakemake workflows for bioinformatics and genomics analysis, built by the OpenOmics community.
Pipeline Discovery
This page was automatically generated on February 03, 2026 at 05:36 PM by scanning all OpenOmics repositories for Snakemake pipelines.
Found 28 pipelines by checking common locations: Snakefile, workflow/Snakefile, etc.
What is Snakemake?
Snakemake is a workflow management system that creates reproducible and scalable data analyses. All pipelines below contain a Snakefile for workflow orchestration.
**fragmentomics Pipeline**: A pipeline analyzing fragmentomics profile of cfDNA sequencing data.
This Python Snakemake workflow focuses on: cell-free-dna, cfdna-profiling, fragment-features, fragmentomics.
GitHub repository with 0 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**istari Pipeline**: Perform error-prone data preparation for whole genome regression modeling.
This Python Snakemake workflow focuses on: covariate-validation, gwas-preparation, phenotype-validation, qc-filtering, variant-annotation.
GitHub repository with 1 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**mpox-seek Pipeline**: A rapid pipeline for targeted and whole-genome ONT monkeypox sequencing.
This Python Snakemake workflow focuses on: mamba, monkeypox, oxford-nanopore, phylogenetics, pipeline, rapid, singularity, snakemake, viral-genomics.
GitHub repository with 1 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**pbAmp-seek Pipeline**: Identify and count PacBio Hifi amplicons.
This Python Snakemake workflow focuses on: amplicon-sequencing, pacbio, snakemake-pipeline.
GitHub repository with 1 stars and 2 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**DLscID Pipeline**: Deep Learning single-cell Identification and Annotation.
This Python Snakemake workflow focuses on: cell-type-identification, deep-learning, single-cell-rna-seq.
GitHub repository with 0 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**RNA-seek Pipeline**: A comprehensive quality-control and quantification RNA-seq pipeline.
This Python Snakemake workflow focuses on: differential-expression-analysis, gene-expression, gene-fusions, isoform-expression, quality-control, rna-seq.
GitHub repository with 5 stars and 3 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**assembly-seek Pipeline**: De novo Long-read Genome Assembly Pipeline.
This Python Snakemake workflow focuses on: genome-assembly, long-read-sequencing, pacbio.
GitHub repository with 2 stars and 2 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**parabricks-benchmark Pipeline**: Benchmarking parabricks GPU-accelerated tools for GATK and beyond!.
This Python Snakemake workflow focuses on: benchmarking, deepvariant, gatk, germline-variants, gpu-acceleration.
GitHub repository with 2 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**methyl-seek Pipeline**: Bisulphite-sequencing DNA methylation pipeline.
This Python Snakemake workflow focuses on: bisulfite-sequencing, cell-free-dna, deconvolution, dmr.
GitHub repository with 7 stars and 3 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**baseline Pipeline**: A BASE template for building pipeLINEs.
This Python Snakemake workflow focuses on: documentation-template, pipeline-template, singularity, snakemake.
GitHub repository with 3 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**leafworker Pipeline**: An awesome alternative-splicing pipeline that runs leafcutter and IsoformSwitchAnalyzeR..
This Python Snakemake workflow focuses on: alternative-splicing, covariate-correction, differential-analysis, isoform-quantification, isoform-switches.
GitHub repository with 1 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**chrom-seek Pipeline**: An awesome set of epigenetic pipelines for bulk cfChip-seq, ChIP-seq, and ATAC-seq.
This Python Snakemake workflow focuses on: annotation, atac-seq, bulk, cell-free-dna, chip-seq, differential-accessibility, differential-binding, peak-calling, quality-control.
GitHub repository with 5 stars and 3 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**modr Pipeline**: An awesome Oxford Nanopore Pipeline for direct RNA-sequencing.
This Python Snakemake workflow focuses on: alternative-splicing-analysis, bioinformatics, differential-expression-analysis, direct-rna-sequencing, known-transcripts, novel-transcripts, oxford-nanopore, pipeline, polya-tail-length-estimation, quality-control, rna-editing, rna-modifications, singularity, snakemake-pipeline, transcriptomics.
GitHub repository with 6 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**iso-seek Pipeline**: An awesome pipeline for processing bulk PacBio transcriptomics data generated with ISO-seq and MAS-seq..
This Python Snakemake workflow focuses on: iso-seq, long-read-sequencing, mas-seq, pacbio-sequencing, singularity, snakemake.
GitHub repository with 0 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**cell-seek Pipeline**: One single-cell pipeline to rule them all, one pipeline to find them, one pipeline to unify them all, and with the data bind them..
This Python Snakemake workflow focuses on: 10xgenomics, single-cell-atac-seq, single-cell-cite-seq, single-cell-omics, single-cell-rna-seq, single-cell-vdj.
GitHub repository with 2 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**genome-seek Pipeline**: Clinical Whole Genome and Exome Sequencing Pipeline.
This Python Snakemake workflow focuses on: copy-number-variation, germline-variants, hla-typing, pipeline, quality-control, singularity, snakemake, somatic-variants, structural-variants, variant-annotation, variant-effect-prediction, whole-exome-sequencing, whole-genome-sequencing.
GitHub repository with 29 stars and 12 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**mir-seek Pipeline**: An awesome microRNA-sequencing pipeline.
This Python Snakemake workflow focuses on: mature-mirna, micro-rna, micro-rna-expression, mirdeep2, mirna, mirna-seq, singularity, snakemake.
GitHub repository with 2 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**metavirs Pipeline**: Viral Metagenomics Assembly and Annotation Pipeline.
This Python Snakemake workflow focuses on: annotation, assembly, classification, pathogen-surveillance, pipeline, quality-control, singularity, snakemake, viral-metagenomics.
GitHub repository with 6 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**nanite Pipeline**: A streamlined Oxford Nanopore Viral Metagenomics Pipeline .
This Python Snakemake workflow focuses on: annotation, assembly, classification, pathogen-surveillance, pipeline, singularity, slim, snakemake, viral-metagenomics.
GitHub repository with 6 stars and 2 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**metamorph Pipeline**: Metagenomics and Metatranscriptomics pipeline.
This Python Snakemake workflow focuses on: metagenomics, metatranscriptomics, pipeline, quality-control, snakemake.
GitHub repository with 5 stars and 2 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**space-seek Pipeline**: Spatial-sequencing: The final frontier. These are the voyages of the 10x Visium pipeline, space-seek..
This Python Snakemake workflow focuses on: 10xgenomics, pipeline, single-cell, singularity, snakemake, visium-hd.
GitHub repository with 1 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**ervx Pipeline**: Endogenous Retrovirus Expression Pipeline for Human, Mouse, and Macaque for use with bulk RNA-seq.
This Python Snakemake workflow focuses on: endogenous-retrovirus-expression, herv, human, mouse, pipeline, quality-control, singularity, snakemake, transposable-elements, workflow.
GitHub repository with 1 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**mr-seek Pipeline**: Mendelian Randomization pipeline.
This Python Snakemake workflow focuses on: mendelian-randomization, pipeline, snakemake.
GitHub repository with 2 stars and 1 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**scErvx Pipeline**: Endogenous Retrovirus Expression Pipeline for Human and Mouse for use with data from 10x genomics (bam files).
This Python Snakemake workflow focuses on: endogenous-retrovirus-expression, single-cell-rna-seq.
GitHub repository with 1 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**cyte-seek Pipeline**: Awesome single-cell CITE-sequencing Pipeline.
This Python Snakemake workflow focuses on: 10xgenomics, cite-seq, pipeline, quality-control, single-cell, singularity.
GitHub repository with 2 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**HiIP Pipeline**: An awesome Hi-C + ChIP (HiChIP) sequencing pipeline..
This Python Snakemake workflow focuses on: chip-seq, hi-c, hichip, pipeline, singularity, snakemake.
GitHub repository with 0 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**weave Pipeline**: An awesome BCL demultiplexing and FastQ quality-control pipeline.
This Python Snakemake workflow focuses on: bcl2fastq, bclconvert, contamination-screening, disambiguate-genomes, fastp, fastq-quality-control, kaiju, kraken2, krona.
GitHub repository with 1 stars and 0 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.
**cfChIP-seek Pipeline**: cell-free ChIP-seq pipeline.
This Python Snakemake workflow focuses on: cell-free-dna, cell-type-deconvolution, chip-seq, peak-annotation, peak-calling, quality-control, snakemake.
GitHub repository with 3 stars and 3 forks.
Technologies: Snakemake, Python, bioinformatics, genomics, computational biology.