MBV

MBV enables researchers to rapidly detect and correct sample mislabeling and identify cross-sample contamination and PCR amplification bias in large genomic datasets that combine genotype and sequence data, such as for eQTL detection.

Topic

Sequencing;Genotype and phenotype;Data quality management

Detail

  • Operation: Validation

  • Software interface: Command-line user interface

  • Language: C++

  • License: GNU General Public License v3

  • Cost: Free

  • Version name: 1.3.1

  • Credit: Louis Jeantet Foundation, Swiss National Science Foundation, National Institute of Health NIMH GTEx.

  • Input: VCF/BCF, BAM/SAM, BED, TXT files

  • Output: -

  • Contact: Olivier Delaneau olivier.delaneau@unige.ch, Emmanouil T Dermitzakis emmanouil.dermitzakis@unige.ch

  • Collection: -

  • Maturity: Stable

Publications

  • MBV: a method to solve sample mislabeling and detect technical bias in large combined genotype and sequencing assay datasets.
  • Fort A, et al. MBV: a method to solve sample mislabeling and detect technical bias in large combined genotype and sequencing assay datasets. MBV: a method to solve sample mislabeling and detect technical bias in large combined genotype and sequencing assay datasets. 2017; 33:1895-1897. doi: 10.1093/bioinformatics/btx074
  • https://doi.org/10.1093/bioinformatics/btx074
  • PMID: 28186259
  • PMC: PMC6044394

Download and documentation

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