targetSeqView
targetSeqView detects structural variants within repetitive human genomic regions, particularly Immunoglobulin (Ig) and T-cell receptor (TCR) loci, by applying probability-based scoring to alignments from target-capture and whole-genome sequencing data.
Key Features:
- Probability-Based Scoring System: Quantifies the likelihood of true structural variants versus alignment artifacts to distinguish genuine SVs from false positives.
- Visualization Methodology: Provides visualization techniques to interpret complex variant and alignment patterns within repetitive sequences.
- Validation Across Experimental Designs: Validated using both target-capture sequencing and whole-genome sequencing datasets.
- Application to lymphoid and cell-line datasets: Tested on sequencing reads from primary lymphoid tumors, cancer cell lines, an EBV-transformed lymphoblast cell line, and whole-genome data from a lymphoblastoid cell line.
Scientific Applications:
- Repetitive-region structural variant detection: Enables accurate identification and interpretation of SVs in highly repetitive genomic loci such as Ig and TCR.
- Cancer genomics of lymphoid malignancies: Supports analysis of SVs in primary lymphoid tumors and related cancer cell lines to inform studies of disease mechanisms.
Methodology:
Implements probability-based scoring and visualization methods as an R package applied to alignments from target-capture and whole-genome sequencing.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Halper-Stromberg E, Steranka J, Burns KH, Sabunciyan S, Irizarry RA. Visualization and probability-based scoring of structural variants within repetitive sequences. Bioinformatics. 2014;30(11):1514-1521. doi:10.1093/bioinformatics/btu054. PMID:24501098. PMCID:PMC4029030.