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| Attribut | ＋ Werkzeug hinzufügen | |||
|---|---|---|---|---|
| Category | Research Tooling & Frameworks | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | — |
| Subcategory | Scientific Workflow Management | Conventional or Statistical Baselines | Conventional or Statistical Baselines | — |
| Company | Seqera Labs & nf-core Community | Research / method authors | Research / method authors | — |
| Access mode | Open Source & Commercial Enterprise | Confirm distribution and exact release | Confirm distribution and exact release | — |
| Licence conditions | Apache 2.0 | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | Runs on laptops up to multi-thousand node HPC clusters and cloud batch engines | Version and data dependent | Version and data dependent | — |
| Biological application | Genomics, transcriptomics, proteomics, single-cell, and computational drug discovery | Nicht erfasst | Nicht erfasst | — |
| Research workflow | Orchestrating multi-step computational biological pipelines with automatic resume and checkpointing | Nicht erfasst | Nicht erfasst | — |
| Evidence level | Standard workflow engine in thousands of international sequencing and biopharma facilities | PEER_REVIEWED_METHOD_OR_CONFERENCE | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Permissive open source release (commercial support via Seqera Platform) | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Price | Free Open Source / Enterprise platform available | Verify access and licence | Verify access and licence | — |
| Availability ⓘ | Available globally via GitHub and Bioconda | Method paper or official documentation | Method paper or official documentation | — |
| Features | Data-driven reactive programming model ensuring seamless parallelization, Native container support (Docker, Singularity, Podman) and package management (Conda), Effortless execution across SLURM, AWS Batch, Google Cloud Batch, and Kubernetes, Hundreds of peer-reviewed, community-standard pipelines (nf-core/rnaseq, nf-core/sarek) | 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 | Workflow Management System | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Pipeline Orchestration & Scalability | NON_AI_CLASSICAL | NON_AI_CLASSICAL | — |
| Input data | Nicht erfasst | Query sequences or profile HMM and sequence database | Amino acid queries and reference sequence database | — |
| Output data | Nicht erfasst | Profile HMM hits and statistical homology significance | Sequence matches, clusters and alignment results | — |
| Validation | Nicht erfasst | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | Workflow orchestration engine & pipeline ecosystem | Nicht erfasst | Nicht erfasst | — |
| Intended use | Nicht erfasst | Nicht erfasst | Nicht erfasst | — |
| Compatibility | Nicht erfasst | Nicht erfasst | Nicht erfasst | — |
| Manufacturer | Seqera Labs & nf-core Community | Nicht erfasst | Nicht erfasst | — |
| Integration evidence | https://www.nextflow.io | Nicht erfasst | Nicht erfasst | — |
| Laboratory handoff | Processes raw sequencer outputs into verified biological insights | Nicht erfasst | Nicht erfasst | — |