Ontology highlight
ABSTRACT: Motivation
Large genomic datasets combining genotype and sequence data, such as for expression quantitative trait loci (eQTL) detection, require perfect matching between both data types.Results
We described here MBV (Match BAM to VCF); a method to quickly solve sample mislabeling and detect cross-sample contamination and PCR amplification bias.Availability and implementation
MBV is implemented in C?++?as an independent component of the QTLtools software package, the binary and source codes are freely available at https://qtltools.github.io/qtltools/ .Contact
olivier.delaneau@unige.ch or emmanouil.dermitzakis@unige.ch.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Fort A
PROVIDER: S-EPMC6044394 | biostudies-literature | 2017 Jun
REPOSITORIES: biostudies-literature
Fort Alexandre A Panousis Nikolaos I NI Garieri Marco M Antonarakis Stylianos E SE Lappalainen Tuuli T Dermitzakis Emmanouil T ET Delaneau Olivier O
Bioinformatics (Oxford, England) 20170601 12
<h4>Motivation</h4>Large genomic datasets combining genotype and sequence data, such as for expression quantitative trait loci (eQTL) detection, require perfect matching between both data types.<h4>Results</h4>We described here MBV (Match BAM to VCF); a method to quickly solve sample mislabeling and detect cross-sample contamination and PCR amplification bias.<h4>Availability and implementation</h4>MBV is implemented in C ++ as an independent component of the QTLtools software package, the binar ...[more]