Journal
PLOS ONE
Volume 12, Issue 2, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0171324
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Funding
- 7th Framework Programme of the European Commission under the Research Project PANACEA [222936]
- Netherlands Organisation for Scientific Research (NWO) VENI grant [863.13.011]
- Dutch Carbohydrate Competence Center
- European Regional Development Fund
- Dutch Ministry of Economic Affairs
- Municipality of Groningen
- Province of Groningen [CCC WP23]
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In high-throughput molecular profiling studies, genotype labels can be wrongly assigned at various experimental steps; the resulting mislabeled samples seriously reduce the power to detect the genetic basis of phenotypic variation. We have developed an approach to detect potential mislabeling, recover the ideal genotype and identify best-matched labels for mislabeled samples. On average, we identified 4% of samples as mislabeled in eight published datasets, highlighting the necessity of applying a data cleaning step before standard data analysis.
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