MBV
Computational Tool
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General Information
DescriptionA method to solve sample mislabeling and detect technical bias in large combined genotype and sequencing assay datasets
Homepagehttps://qtltools.github.io/qtltools/
Publications
MBV: a method to solve sample mislabeling and detect technical bias in large combined genotype and sequencing assay datasets
Alexandre Fort; Nikolaos I. Panousis; Marco Garieri; Stylianos E. Antonarakis; Tuuli Lappalainen; Emmanouil T. Dermitzakis; Olivier Delaneau
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.
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