Identifying viral integration sites using SeqMap 2.0

Bioinformatics. 2011 Mar 1;27(5):720-2. doi: 10.1093/bioinformatics/btq722. Epub 2011 Jan 17.

Abstract

Retroviral integration has been implicated in several biomedical applications, including identification of cancer-associated genes and malignant transformation in gene therapy clinical trials. We introduce an efficient and scalable method for fast identification of viral vector integration sites from long read high-throughput sequencing. Individual sequence reads are masked to remove non-genomic sequence, aligned to the host genome and assembled into contiguous fragments used to pinpoint the position of integration.

Availability and implementation: The method is implemented in a publicly accessible web server platform, SeqMap 2.0, containing analysis tools and both private and shared lab workspaces that facilitate collaboration among researchers. Available at http://seqmap.compbio.iupui.edu/.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Cluster Analysis
  • Genome, Viral
  • High-Throughput Nucleotide Sequencing / methods*
  • Internet
  • Retroviridae / genetics*
  • Retroviridae / physiology
  • Sequence Alignment
  • Software*
  • Virus Integration*