This is the development home of the workflow management system Snakemake. For general information, see
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Updated
May 11, 2024 - HTML
This is the development home of the workflow management system Snakemake. For general information, see
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
RNA-seq workflow using STAR and DESeq2
This Snakemake pipeline implements the GATK best-practices workflow
ATLAS - Three commands to start analyzing your metagenome data
A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.
A robust, extensible metagenomics pipeline
V-pipe is a pipeline designed for analysing NGS data of short viral genomes
🐍 Snakefiles for common RNA-seq data analysis workflows (STAR and Kallisto).
A cookiecutter template for Snakemake workflows
💎 An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
A Snakemake workflow for calling small and structural variants under any kind of scenario (tumor/normal, tumor/normal/relapse, germline, pedigree, populations) via the unified statistical model of Varlociraptor.
Tibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.
Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data.
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