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

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

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