Manage biological datasets with automatic provenance tracking and ontology-based annotation.
npx skills add https://github.com/rubensliv/k-dense-ai --skill lamindb-rubensliv
Please help me install this Agent Skill. Skill: lamindb Source: https://github.com/rubensliv/k-dense-ai/tree/main/scientific-skills/lamindb Command: npx skills add https://github.com/rubensliv/k-dense-ai --skill lamindb-rubensliv
LaminDB helps researchers manage biological datasets with automatic provenance tracking, FAIR annotations, and ontology-backed metadata to enable reproducible analyses and auditable results.
Organize a scRNA-seq dataset in LaminDB, validate cell-type annotations against CellType ontology, and track the workflow end-to-end.
High-intent search queries and answers about installing and using this skill.
Track biological data provenance automatically by logging artifacts, runs, and transforms within a data lakehouse architecture, ensuring multi-omics pipelines remain reproducible. LaminDB captures lineage across pipeline executions to validate results.
Ontology-backed annotation standardizes metadata across scRNA-seq datasets by validating cell-type terms against biological ontologies. This mechanism standardizes terms to enable cross-tool integrations and FAIR biological data sharing across different analyses.
LaminDB integrates with workflow managers like Nextflow and Snakemake to connect spatial transcriptomics pipelines into scalable data lakehouse architectures. These integrations enable automatic artifact lineage tracking across workflow runs and ML platforms.
Validate schema and cell-type annotations for clinical data by applying ontology-backed metadata standardization. This enforces FAIR annotations and schema validation across datasets to deliver auditable biological results and cross-tool integrations.
Build a multi-omics data lakehouse with automatic provenance tracking, eliminating manual lineage logging. LaminDB automatically tracks artifacts, runs, and transforms to deliver reproducible analyses and auditable results across ML platforms.
Hung-3008Track biological data lineage with ontology-aware annotations via Bionty.
qinyan-aiManage biological data artifacts with provenance tracking and ontology annotation.
swaruplabManage biological data artifacts with versioning and lineage tracking.
Lord1EgyptManage biological data with FAIR compliance and automatic lineage tracking.
