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Compare biological models, docking engines, and computational workflows side-by-side. Filter by access model, compute footprint, and category to reach an actionable decision table in under a minute.
| Attribute | Scientific ML Libraries & Supporting Tools Rosetta macromolecular modeling suiteResearch / method authors | ＋ Add tool | ||||
|---|---|---|---|---|---|---|
| Category | Research Tooling & Frameworks | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | — |
| Subcategory | Bioinformatics Workflow Engines | Conventional or Statistical Baselines | Conventional or Statistical Baselines | Conventional or Statistical Baselines | Conventional or Statistical Baselines | — |
| Company | Snakemake Community (Köster Lab) | Research / method authors | Research / method authors | Research / method authors | Research / method authors | — |
| Access mode | Open Source | Confirm distribution and exact release | Confirm distribution and exact release | Confirm distribution and exact release | Confirm distribution and exact release | — |
| Licence conditions | MIT License | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | 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 | Version and data dependent | Version and data dependent | — |
| Biological application | Genomic variant calling, RNA-seq analysis, metagenomics, and multi-omics pipelines | Not recorded | Not recorded | Not recorded | Not recorded | — |
| Research workflow | Define rules with inputs, outputs, and shell commands -> execute with automated DAG resolution | Not recorded | Not recorded | Not recorded | Not recorded | — |
| Evidence level | Peer-reviewed publication (Bioinformatics 2012 / F1000Research 2021) with wide adoption | PEER_REVIEWED_METHOD_OR_CONFERENCE | PEER_REVIEWED_METHOD_OR_CONFERENCE | PEER_REVIEWED_METHOD_OR_CONFERENCE | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Permissive open source release | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Price | Free Open Source | Verify access and licence | Verify access and licence | Verify access and licence | Verify access and licence | — |
| Availability ⓘ | Available via Bioconda and PyPI | Method paper or official documentation | Method paper or official documentation | 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 | NCBI BLAST+ scientific method, Nucleotide or protein query and appropriately indexed sequence database, Local sequence alignment scores and homolog candidates | Rosetta macromolecular modeling suite scientific method, Protein structures and appropriate score function and design constraints, Energy-optimized structural/design candidates | — |
| Entry type | Open Source Software | Classical/statistical scientific method | Classical/statistical scientific method | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Workflow Orchestration & Reproducibility | NON_AI_CLASSICAL | NON_AI_CLASSICAL | NON_AI_CLASSICAL | NON_AI_PHYSICS_BASED | — |
| Input data | Not recorded | Query sequences or profile HMM and sequence database | Amino acid queries and reference sequence database | Nucleotide or protein query and appropriately indexed sequence database | Protein structures and appropriate score function and design constraints | — |
| Output data | Not recorded | Profile HMM hits and statistical homology significance | Sequence matches, clusters and alignment results | Local sequence alignment scores and homolog candidates | Energy-optimized structural/design candidates | — |
| Validation | Not recorded | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | Workflow management engine | Not recorded | Not recorded | Not recorded | Not recorded | — |
| Intended use | Not recorded | Not recorded | Not recorded | Not recorded | Not recorded | — |
| Compatibility | Not recorded | Not recorded | Not recorded | Not recorded | Not recorded | — |
| Manufacturer | Snakemake Contributors / University of Duisburg-Essen | Not recorded | Not recorded | Not recorded | Not recorded | — |
| Integration evidence | https://snakemake.github.io | Not recorded | Not recorded | Not recorded | Not recorded | — |
| Laboratory handoff | Automates analysis pipelines from raw instrument data to final summary tables | Not recorded | Not recorded | Not recorded | Not recorded | — |