ParMap, an algorithm for the identification of small genomic insertions and deletions in nextgen sequencing data
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Updated: Jun 12, 2026
Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
Published on: August 24, 2017
Hossein Khiabanian1, Pieter Van Vlierberghe, Teresa Palomero
1Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, NY, USA. hossein@c2b2.columbia.edu.
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.
Findings:
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.
