TIGRA: A Targeted Iterative Graph Routing Assembler for breakpoint assembly

  1. George Weinstock2
  1. 1 MD Anderson Cancer Center;
  2. 2 Washington University
  1. * Corresponding author; email: kchen3{at}mdanderson.org

Abstract

Recent progress in next-generation sequencing has greatly facilitated our study of genomic structural variation. Unlike single nucleotide variants and small indels, many structural variants have not been completely characterized at the nucleotide resolution. Deriving the complete sequences underlying such breakpoints is crucial for not only accurate discovery, but also the functional characterization of altered alleles. However, our current ability to determine such breakpoint sequences is limited because of challenges in aligning and assembling short reads. To address this issue, we developed a targeted iterative graph routing assembler, TIGRA, which implements a set of novel data analysis routines to achieve effective breakpoint assembly from next-generation sequencing data. In our assessment using data from the 1000 Genomes Project, TIGRA was able to accurately assemble the majority of deletion and mobile element insertion breakpoints, with a substantively better success rate and accuracy than other algorithms. TIGRA has been applied in the 1000 Genomes Project and other projects, and is freely available for academic use.

  • Received July 1, 2013.
  • Accepted December 3, 2013.

This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported), as described at http://creativecommons.org/licenses/by-nc/3.0/.

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  1. Genome Res. gr.162883.113 Published by Cold Spring Harbor Laboratory Press

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