Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/107971
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Type: Journal article
Title: BAM-matcher: a tool for rapid NGS sample matching
Author: Wang, P.
Parker, W.
Branford, S.
Schreiber, A.
Citation: Bioinformatics, 2016; 32(17):2699-2701
Publisher: Oxford University Press
Issue Date: 2016
ISSN: 1367-4803
1460-2059
Statement of
Responsibility: 
Paul P.S. Wang, Wendy T. Parker, Susan Branford, Andreas W. Schreiber
Abstract: The standard method used by high-throughput genome sequencing facilities for detecting mislabelled samples is to use independently generated high-density SNP data to determine sample identity. However, as it has now become commonplace to have multiple samples sequenced from the same source, such as for analysis of somatic variants using matched tumour and normal samples, we can directly use the genotype information inherent in the sequence data to match samples and thus bypass the need for additional laboratory testing. Here we present BAM-matcher, a tool that can rapidly determine whether two BAM files represent samples from the same biological source by comparing their genotypes. BAM-matcher is designed to be simple to use, provides easily interpretable results, and is suitable for deployment at early stages of data processing pipelines.BAM-matcher is licensed under the Creative Commons by Attribution license, and is available from: https://bitbucket.org/sacgf/bam-matcherSupplementary data are available at Bioinformatics online.paul.wang@sa.gov.au.
Keywords: Sequence Analysis, DNA
Rights: © The Author 2016. Published by Oxford University Press. All rights reserved.
RMID: 0030047813
DOI: 10.1093/bioinformatics/btw239
Grant ID: http://purl.org/au-research/grants/nhmrc/1027531
Appears in Collections:Medicine publications

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