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Comparez modèles biologiques, moteurs de docking et flux de calcul côte à côte. Filtrez par modèle d'accès, empreinte de calcul et catégorie pour parvenir à une table de décision exploitable en moins d'une minute.
| Attribut | ＋ Ajouter un outil | |
|---|---|---|
| Category | Research Tooling & Frameworks | — |
| Subcategory | Bioinformatics Workflow Engines | — |
| Company | Snakemake Community (Köster Lab) | — |
| Access mode | Open Source | — |
| Licence conditions | MIT License | — |
| Compute requirements | Standard Python environment (runs on laptop or HPC cluster) | — |
| Biological application | Genomic variant calling, RNA-seq analysis, metagenomics, and multi-omics pipelines | — |
| Research workflow | Define rules with inputs, outputs, and shell commands -> execute with automated DAG resolution | — |
| Evidence level | Peer-reviewed publication (Bioinformatics 2012 / F1000Research 2021) with wide adoption | — |
| Commercial eligibility | Permissive open source release | — |
| Price | Free Open Source | — |
| Availability ⓘ | Available via Bioconda and PyPI | — |
| Features | Python-based rule syntax making pipelines readable and modular, Seamless scaling from single workstations to compute clusters (SLURM, PBS) and cloud environments, Automatic tracking of software dependencies via Conda environments and container images, Integrated reporting tools generating interactive HTML execution and benchmark reports | — |
| Entry type | Open Source Software | — |
| AI role | Workflow Orchestration & Reproducibility | — |
| Input data | Non enregistré | — |
| Output data | Non enregistré | — |
| Validation | Non enregistré | — |
| Type | Workflow management engine | — |
| Intended use | Non enregistré | — |
| Compatibility | Non enregistré | — |
| Manufacturer | Snakemake Contributors / University of Duisburg-Essen | — |
| Integration evidence | https://snakemake.github.io | — |
| Laboratory handoff | Automates analysis pipelines from raw instrument data to final summary tables | — |