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Rapid and powerful detection of subtle allelic imbalance from exome sequencing data with hapLOHseq
Author(s) -
F. Anthony San Lucas,
Smruthy Sivakumar,
Selina Vattathil,
Jerry Fowler,
Eduardo Vilar,
Paul Scheet
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw340
Subject(s) - exome sequencing , biology , allele , computational biology , exome , dna sequencing , genetics , gene , phenotype
The detection of subtle genomic allelic imbalance events has many potential applications. For example, identifying cancer-associated allelic imbalanced regions in low tumor-cellularity samples or in low-proportion tumor subclones can be used for early cancer detection, prognostic assessment and therapeutic selection in cancer patients. We developed hapLOHseq for the detection of subtle allelic imbalance events from next-generation sequencing data.

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