An error in one of the most widely used methods in epigenetics, DIP-seq, can cause misleading results. This may have major significance in the research field, where 'big data' and advanced methods of DNA analysis are used to study vast amounts of data. Correcting for the errors in existing DIP-seq data may lead to new discoveries from previous studies of human epigenetics.
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