Loading BioAtlas...
Loading BioAtlas...
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 | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | — |
| Subcategory | Bioinformatics Workflow Engines | Conventional or Statistical Baselines | Conventional or Statistical Baselines | — |
| Company | Snakemake Community (Köster Lab) | Research / method authors | Research / method authors | — |
| Access mode | Open Source | Confirm distribution and exact release | Confirm distribution and exact release | — |
| Licence conditions | MIT License | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | Standard Python environment (runs on laptop or HPC cluster) | Version and data dependent | Version and data dependent | — |
| Biological application | Genomic variant calling, RNA-seq analysis, metagenomics, and multi-omics pipelines | Non enregistré | Non enregistré | — |
| Research workflow | Define rules with inputs, outputs, and shell commands -> execute with automated DAG resolution | Non enregistré | Non enregistré | — |
| Evidence level | Peer-reviewed publication (Bioinformatics 2012 / F1000Research 2021) with wide adoption | PEER_REVIEWED_METHOD_OR_CONFERENCE | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Permissive open source release | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Price | Free Open Source | Verify access and licence | Verify access and licence | — |
| Availability ⓘ | Available via Bioconda and PyPI | Method paper or official documentation | Method paper or official documentation | — |
| 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 | HMMER 3 scientific method, Query sequences or profile HMM and sequence database, Profile HMM hits and statistical homology significance | MMseqs2 scientific method, Amino acid queries and reference sequence database, Sequence matches, clusters and alignment results | — |
| Entry type | Open Source Software | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Workflow Orchestration & Reproducibility | NON_AI_CLASSICAL | NON_AI_CLASSICAL | — |
| Input data | Non enregistré | Query sequences or profile HMM and sequence database | Amino acid queries and reference sequence database | — |
| Output data | Non enregistré | Profile HMM hits and statistical homology significance | Sequence matches, clusters and alignment results | — |
| Validation | Non enregistré | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | Workflow management engine | Non enregistré | Non enregistré | — |
| Intended use | Non enregistré | Non enregistré | Non enregistré | — |
| Compatibility | Non enregistré | Non enregistré | Non enregistré | — |
| Manufacturer | Snakemake Contributors / University of Duisburg-Essen | Non enregistré | Non enregistré | — |
| Integration evidence | https://snakemake.github.io | Non enregistré | Non enregistré | — |
| Laboratory handoff | Automates analysis pipelines from raw instrument data to final summary tables | Non enregistré | Non enregistré | — |