BAM-matcher: a tool for rapid NGS sample matching.

Bioinformatics

ACRF Cancer Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, Australia, School of Biological Sciences and.

Published: September 2016

Unlabelled: 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.

Availability And Implementation: BAM-matcher is licensed under the Creative Commons by Attribution license, and is available from: https://bitbucket.org/sacgf/bam-matcher

Supplementary Information: Supplementary data are available at Bioinformatics online.

Contact: paul.wang@sa.gov.au.

Download full-text PDF

Source
http://dx.doi.org/10.1093/bioinformatics/btw239DOI Listing

Publication Analysis

Top Keywords

bam-matcher tool
8
samples
5
bam-matcher
4
tool rapid
4
rapid ngs
4
ngs sample
4
sample matching
4
matching unlabelled
4
unlabelled standard
4
standard method
4

Similar Publications

BAM-matcher: a tool for rapid NGS sample matching.

Bioinformatics

September 2016

ACRF Cancer Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, Australia, School of Biological Sciences and.

Unlabelled: 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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!