Journal
BIOINFORMATICS
Volume 28, Issue 17, Pages 2265-2266Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts365
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Funding
- National Cancer Institute [U24CA143883]
- National Center for Research Resources [3UL1RR024148, ULTR000371]
- H.A. and Mary K. Chapman Foundation
- Michael & Susan Dell Foundation
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We developed a novel algorithm, PurityEst, to infer the tumor purity level from the allelic differential representation of heterozygous loci with somatic mutations in a human tumor sample with a matched normal tissue using next-generation sequencing data. We applied our tool to a whole cancer genome sequencing datasets and demonstrated the accuracy of PurityEst compared with DNA copy number-based estimation.
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