title: ParMap, an algorithm for the identification of small genomic insertions and deletions in nextgen sequencing data.
abstract: BACKGROUND
  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.
  
  
  RESULTS
  Here we describe ParMap, a statistical algorithm for the identification of complex genetic variants, such as small insertion and deletions, using partially mapped reads in nextgen sequencing data.
  
  
  CONCLUSIONS
  We report ParMap's successful application to the mutation analysis of chromosome X exome-captured leukemia DNA samples.
authors.affiliation: Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, NY, USA. hossein@c2b2.columbia.edu.
authors.forename: Hossein
authors.initials: H
authors.lastname: Khiabanian
authors.forename: Pieter
authors.initials: P
authors.lastname: Van Vlierberghe
authors.forename: Teresa
authors.initials: T
authors.lastname: Palomero
authors.forename: Adolfo A
authors.initials: AA
authors.lastname: Ferrando
authors.forename: Raul
authors.initials: R
authors.lastname: Rabadan