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.

Documentation

Links