muCNV
muCNV performs joint genotyping of structural variations (SVs) from short-read sequencing data to enable scalable population-level SV genotyping in large whole-genome sequencing (WGS) cohorts.
Key Features:
- Multi-Sample Genotyping: Capable of handling over 100,000 samples simultaneously for large-scale WGS projects.
- Aggregation of Summary Pileups: Aggregates per-sample summary pileups to perform joint genotyping.
- Efficient Parallelization: Employs a multi-step process that enables efficient parallelization across samples and genomic regions.
- Scalable Processing: Designed for scalable and efficient processing of very large datasets.
- Reduced Mendelian Inconsistencies: Demonstrates reductions in Mendelian inconsistencies in pilot results.
- Cloud Computational Efficiency: Shows computational efficiencies when applied to cloud-based projects.
Scientific Applications:
- Population-Scale Genotyping: Joint genotyping of SVs across large cohorts to support population genetics and large WGS studies.
- Cloud-Based Genomic Projects: Application in cloud computing environments for scalable joint SV genotyping at population scale.
Methodology:
Aggregates per-sample summary pileups to perform joint genotyping and uses a multi-step process that enables efficient parallelization for scalable processing of large cohorts.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- C++, C
- Added:
- 10/11/2021
- Last Updated:
- 10/11/2021
Operations
Publications
Jun G, Sedlazeck F, Zhu Q, English A, Metcalf G, Kang HM, Lee C, Gibbs R, Boerwinkle E. muCNV: genotyping structural variants for population-level sequencing. Bioinformatics. 2021;37(14):2055-2057. doi:10.1093/bioinformatics/btab199. PMID:33760063. PMCID:PMC8496513.
PMID: 33760063
Funding: - National Institutes of Health: 1OT2OD002751-01, 1R01DK118631, 1R03HD098552, 5UM1HG008898-04, HHSN26817HV00002R
- NHGRI: 3UM1HG008901-03S1, 3UM1HG008901-04S2
Links
Issue tracker
https://github.com/gjun/muCNV/issues