GROC-SVs
GROC-SVs reconstructs complex structural variants by identifying large-scale structural variants and assembling breakpoint sequences using 10x Genomics read-cloud long-fragment information integrated with short-read sequencing.
Key Features:
- Read Cloud Approach: Utilizes the 10x Genomics read-cloud approach, where microfluidic partitioning and barcoding of long genomic DNA fragments retain long-range information within short sequencing reads.
- Improved Specificity and Sensitivity: Improves specificity of breakpoint detection while maintaining sensitivity comparable to traditional short-fragment sequencing methods.
- Simultaneous Assembly Across Multiple Breakpoints: Performs sequence assembly across multiple breakpoints simultaneously to reconstruct complex events such as chromothriptic rearrangements.
- Application to Cancer Genomics: Applied to Illumina-sequenced 10x Genomics datasets from sarcoma and breast cancer samples for structural-variation characterization.
- Insights into Structural Variation Dynamics: Enables analysis showing that chromothriptic rearrangements often precede copy number amplifications and that single-nucleotide variant and structural-variation rates are not correlated.
Scientific Applications:
- Genome-wide SV detection and reconstruction: Detects and reconstructs complex structural variants genome-wide by assembling breakpoint sequences from read-cloud data.
- Cancer genomics: Characterizes tumor genomic architecture and evolution, demonstrated on sarcoma and breast cancer 10x/Illumina datasets.
- Study of structural-variation dynamics: Investigates temporal relationships among chromothriptic rearrangements, copy number amplifications, and the independence of SNV versus SV rates.
Methodology:
Uses 10x Genomics read-cloud data generated by microfluidic partitioning and barcoding of long genomic DNA fragments, integrates barcoded short reads from short-read sequencing (Illumina), and performs breakpoint sequence assembly including simultaneous assembly across multiple breakpoints.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 6/4/2018
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Sequence assembly
Publications
Spies N, Weng Z, Bishara A, McDaniel J, Catoe D, Zook JM, Salit M, West RB, Batzoglou S, Sidow A. Genome-wide reconstruction of complex structural variants using read clouds. Nature Methods. 2017;14(9):915-920. doi:10.1038/nmeth.4366. PMID:28714986. PMCID:PMC5578891.
Documentation
Downloads
- Command-line specificationhttps://github.com/grocsvs/grocsvs