PurityEst: estimating purity of human tumor samples using next-generation sequencing data

Abstract

Abstract Summary: 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. Availability: PurityEst has been implemented in PERL and is available at http://odin.mdacc.tmc.edu/~xsu1/PurityEst.html Contact: xsu1@mdanderson.org

Keywords

PerlDNA sequencingHuman genomeComputational biologyBiologySomatic cellComputer scienceGenomeGeneticsGene

Affiliated Institutions

The University of Texas MD Anderson Cancer Center US

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Publication Info

Year: 2012
Type: article
Volume: 28
Issue: 17
Pages: 2265-2266
Citations: 77
Access: Closed

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APA Style

                            
                                
                                    Xiaoping Su, 
                                
                                    Li Zhang, 
                                
                                    Jianping Zhang
                                
                                et al.
                            
                            (2012). 
                            PurityEst: estimating purity of human tumor samples using next-generation sequencing data. 
                            Bioinformatics
                            , 28
                            (17)
                            , 2265-2266.
                            https://doi.org/10.1093/bioinformatics/bts365
                        

Identifiers

DOI: 10.1093/bioinformatics/bts365