SLOPE
SLOPE detects structural variants, including insertions, deletions, translocations, and viral integration sites, from targeted short-read DNA sequencing data to support clinical cancer genomics.
Key Features:
- Targeted sequencing focus: Optimized for target capture and targeted deep sequencing short-read data from specific genes or regions rather than whole-genome sequencing.
- Detection capabilities: Identifies insertion/deletion (indel) events, chromosomal translocations, and viral integration sites from short DNA reads.
- Performance metrics: Evaluated on real and simulated datasets and reported to achieve high sensitivity with a low false discovery rate.
- Efficiency in analysis: Leverages the structured nature of targeted sequencing data to enable rapid structural-variant detection.
Scientific Applications:
- Oncology and clinical cancer diagnostics: Detection of structural variants from targeted panels to inform diagnosis, prognosis, treatment selection, and personalized medicine approaches.
Methodology:
Analyzes short DNA reads produced by targeted sequencing and exploits the structured nature of targeted capture data for structural-variant identification, with performance assessed using real and simulated datasets.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Abel HJ, Duncavage EJ, Becker N, Armstrong JR, Magrini VJ, Pfeifer JD. SLOPE: a quick and accurate method for locating non-SNP structural variation from targeted next-generation sequence data. Bioinformatics. 2010;26(21):2684-2688. doi:10.1093/bioinformatics/btq528. PMID:20876606.
PMID: 20876606