SVMerge

SVMerge integrates calls from multiple structural variant callers to improve detection sensitivity and refine breakpoint localization of structural variants using local de novo assembly for validation.


Key Features:

  • Integration of multiple callers: Aggregates SV calls from various structural variant callers to leverage complementary detection signals.
  • Modularity and extensibility: Supports incorporation of additional SV callers into the pipeline to accommodate new methods.
  • Validation via local de novo assembly: Uses local de novo assembly to validate candidate variants and refine breakpoint coordinates.
  • Improved detection and accuracy: Produces enhanced detection rates and refined breakpoint accuracy with a reduced false discovery rate compared to individual callers.

Scientific Applications:

  • High-resolution SV mapping: Enables precise breakpoint determination for studies requiring fine-scale characterization of genomic alterations.
  • Population and trio analyses: Has been applied to a HapMap trio dataset to demonstrate improved structural variant detection and breakpoint precision.
  • Genetic and clinical research: Supports research into genomic architecture and variation by providing more comprehensive SV call sets.

Methodology:

SVMerge aggregates SV calls from multiple sources and validates integrated candidates through local de novo assembly to confirm variants and refine breakpoints.

Topics

Details

Maturity:
Mature
Tool Type:
workflow
Operating Systems:
Linux
Programming Languages:
Perl
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Wong K, Keane TM, Stalker J, Adams DJ. Enhanced structural variant and breakpoint detection using SVMerge by integration of multiple detection methods and local assembly. Genome Biology. 2010;11(12). doi:10.1186/gb-2010-11-12-r128. PMID:21194472. PMCID:PMC3046488.

Documentation