Saturday, January 16, 2010

ParMap, an Algorithm for the Identification of Complex Genomic Variations in Nextgen Sequencing Data

Next-generation sequencing produces high-throughput data, albeit with greater error and shorter reads than traditional Sanger sequencing methods. This complicates the detection of genomic variations, especially, small insertions and deletions. Here we describe ParMap, a statistical algorithm for the identification of complex genetic variants using partially mapped reads in nextgen sequencing data. We also report ParMap’s successful application to the mutation analysis of chromosome X exome-captured leukemia DNA samples.

(this Post content was reproduced from:, Via Browsing Bioinformatics : Nature Precedings.)