SVs
SVs reconstructs and characterizes large and complex genomic structural variants by leveraging long-fragment sequencing data such as 10x Genomics and performing sequence assembly at SV breakpoints to delineate disrupted genomic architecture.
Key Features:
- Identification of large-scale structural variants: Detects a wide range of structural variants, including large and complex events across the genome.
- Sequence assembly at breakpoints: Performs precise sequence assembly at SV breakpoints to reconstruct affected genomic sequence and architecture.
- Utilization of long-fragment information: Integrates long-fragment sequencing data from platforms like 10x Genomics to improve resolution of complex SVs.
- Integration of multiple computational methods: Applies multiple computational approaches tailored for different classes of SVs, zygosities, and size ranges.
Scientific Applications:
- Medicine and molecular biology: Enables analysis of SV contributions to genetic disorders and disease mechanisms.
- Gene expression regulation: Supports investigation of how structural variants influence gene expression patterns and regulatory elements.
- Ethnic diversity and evolutionary studies: Facilitates characterization of SVs that contribute to population genetic differences and studies of large-scale chromosome evolution.
Methodology:
Infers structural variants across the full spectrum of large and complex variations and integrates multiple computational methods tailored for different classes of SVs, zygosities, and size ranges.
Topics
Details
- License:
- MIT
- Programming Languages:
- Python
- Added:
- 1/14/2020
- Last Updated:
- 1/16/2021
Operations
Publications
Mahmoud M, Gobet N, Cruz-Dávalos DI, Mounier N, Dessimoz C, Sedlazeck FJ. Structural variant calling: the long and the short of it. Genome Biology. 2019;20(1). doi:10.1186/s13059-019-1828-7. PMID:31747936. PMCID:PMC6868818.
PMID: 31747936
PMCID: PMC6868818
Funding: - Foundation for the National Institutes of Health: UM1 HG008898
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung: 150654, 31003A-143914, 31003A_173182
- H2020 European Research Council: CAMERA