Manages biological data with queryability, traceability, reproducibility, and FAIR compliance.
npx skills add https://github.com/Yezez9/Research-Agent --skill lamindb-yezez9
Please help me install this Agent Skill. Skill: lamindb Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/lamindb Command: npx skills add https://github.com/Yezez9/Research-Agent --skill lamindb-yezez9
This Skill streamlines the management of biological datasets, ensuring data is queryable, traceable, reproducible, and FAIR (Findable, Accessible, Interoperable, Reusable).
Use the lamindb skill to initialize a new LaminDB instance with S3 storage and PostgreSQL.
High-intent search queries and answers about installing and using this skill.
Track scRNA-seq biological data lineage by automatically recording data provenance from raw input to analysis results. This process ensures computational workflows remain traceable and reproducible across diverse biological datasets.
Standardize spatial transcriptomics metadata by integrating biological ontologies for genes, cell types, and diseases. This integration ensures datasets are queryable, interoperable, and FAIR compliant for downstream analysis.
Ontology integration improves biological data queryability by standardizing annotations using biological ontologies for genes, cell types, and diseases. This standardization enables cross-dataset querying to find specific cell populations efficiently.
You can manage flow cytometry data alongside scRNA-seq because the system supports diverse biological data types. It handles data upload, annotation, and schema validation to maintain consistency across varied experimental outputs.
You need S3 storage and PostgreSQL to initialize a LaminDB instance for managing biological data. This environment setup provides the backend infrastructure required for robust data management and queryability.
Track computational workflow lineage by managing data provenance from raw input through analysis results. This tracking integrates with MLOps platforms and workflow managers to maintain full reproducibility and FAIR compliance.
crazymsnCoordinate biological data management with LaminDB for traceability and reproducibility.
shushuznTrack dataset versions, lineage, and provenance for FAIR biological data management.
robinbarvaagManage biological datasets and track computational lineage via a Python API.
jackspaceAnalyze biological sequences for microbiome and ecological data interpretation.
