VarDecrypt

VarDecrypt analyzes whole-exome sequencing (WES) data to prioritize and functionally characterize gene variants for identifying causative variants and deregulated pathways in human disorders, including cancers.

Key Features:

• Comprehensive filtering: Enables extensive filtering of genes and variants within WES datasets to focus analyses on relevant candidates.
• Clustering and enrichment analysis: Performs clustering and pathway/enrichment analyses to identify significant patterns and affected pathways.
• Variant prioritization: Ranks and prioritizes gene variants to support selection of candidates for downstream functional studies.
• High-throughput WES analysis: Processes and interprets high-throughput whole-exome sequencing data to facilitate discovery of causative gene variants.

Scientific Applications:

• Acute erythroid leukemia analysis: Applied to a cohort of 10 patients with acute erythroid leukemia to identify known oncogenes and suggest novel potential driver genes.
• Multiple myeloma validation: Validated on an independent dataset of approximately 90 multiple myeloma WES cases to confirm identification of deregulated genes and pathways.

Methodology:

Analyzes whole-exome sequencing (WES) high-throughput data using gene and variant filtering, clustering, enrichment analyses, and variant prioritization to identify causative gene variants.