lumpy

lumpy identifies structural variations and breakpoint locations in whole genome sequencing data by jointly integrating read-pair, split-read, read-depth, and prior-knowledge signals across samples to improve sensitivity and accuracy.

Key Features:

• Multi-signal integration: Integrates read-pair, split-read, read-depth, and prior-knowledge signals for SV detection.
• Joint multi-sample analysis: Performs signal integration jointly across multiple samples rather than analyzing signals in isolation or sequentially.
• Enhanced sensitivity: Improves detection sensitivity in low coverage data and at low intra-sample variant allele frequency.
• Breakpoint discovery: Identifies structural variant breakpoints and demonstrated identification of 4,564 validated breakpoints in NA12878.
• Whole genome sequencing support: Operates on whole genome sequencing (WGS) data for genome-wide SV discovery.

Scientific Applications:

• Genetic research: Detects SVs to investigate genomic variation and disease mechanisms.
• Evolutionary biology: Characterizes structural variation for studies of genome evolution.
• Personalized medicine: Identifies individual-specific SVs relevant to medical interpretation.
• Population genetics: Assesses structural variants to analyze population-level genetic diversity.

Methodology:

Joint integration of read-pair, split-read, read-depth, and prior-knowledge signals across samples to identify structural variant breakpoints.