Manage biological datasets with queryable, traceable lineage using a Python framework.
npx skills add https://github.com/yf8578/clawomics --skill lamindb-yf8578
Please help me install this Agent Skill. Skill: lamindb Source: https://github.com/yf8578/clawomics/tree/main/skills/lamindb Command: npx skills add https://github.com/yf8578/clawomics --skill lamindb-yf8578
This Skill addresses the challenge of managing complex biological datasets, ensuring data is queryable, traceable, reproducible, and FAIR (Findable, Accessible, Interoperable, Reusable).
Use the lamindb skill to load and validate the 'raw_counts.h5ad' dataset.
High-intent search queries and answers about installing and using this skill.
To track computational lineage for scRNA-seq data, you can use this Skill to automatically log analysis steps from raw data to results, ensuring full reproducibility and traceability of your workflows.
Yes, you can standardize biological annotations using cell type ontologies. This Skill integrates biological ontologies for genes and cell types to validate and curate data for interoperability.
The best way to manage and query multi-modal biological datasets is using a Python framework that unifies scRNA-seq, spatial, and flow cytometry data into a queryable, FAIR-compliant format.
Yes, you need a Python environment with lamindb and bionty installed to curate, validate, and query complex biological datasets and ensure computational reproducibility.
Ontology integration improves biological data reproducibility by standardizing annotations across diverse datasets. This ensures that biological entities like genes and cell types are consistently identified and queried.
jackspaceAnalyze biological sequences for microbiome and ecological data interpretation.
biomaps-infraAutomate scientific research workflows from data analysis to LaTeX publication.
JosephWoodallManage, query, and track provenance for complex biological datasets.
openeuler-mirrorCorrelate kernel logs, process memory snapshots, and cgroup metrics to diagnose Linux OOM events.
