hvantk:resource-msigdb

To convert MSigDB GMT files into Hail Tables, this Skill parses variable-width gene-set files and maps set names and gene arrays into a structured, queryable distributed computing format. This standardization eliminates manual parsing and ensures schema provenance for downstream analysis.

The best way to parse MSigDB gene-set collections for multiomics integration is to ingest GMT files into a uniform Hail Table keyed by gene-set name. This approach creates integration-ready data structures for seamless joining with variant or expression datasets.

Yes, you need Hail installed to process MSigDB GMT files, as the processing logic relies entirely on it for data transformation. The Skill uses Hail to map raw gene-set collections into high-performance distributed tables for reproducible multiomics workflows.

Yes, you can use the parsed Hail Tables for pathway-level burden analysis across large genomic cohorts. The standardized tables enable seamless joining of gene-set membership data with large-scale variant datasets to perform enrichment testing.

Transforming GMT files into Hail Tables improves multiomics analysis by converting raw gene-set data into a high-performance distributed format with strict schema provenance. This enables consistent, reproducible integration with variant or expression datasets for burden testing.

The primary limitation of using Hail for MSigDB gene-set processing is the strict dependency on the Hail environment and the requests library for ingestion. Users must operate within this specific distributed computing framework to parse GMT files into structured tables.