The target-decoy approach is a statistical strategy used in proteomics for validating protein identifications by comparing the matches obtained from a target database against those from a decoy database. This method helps in estimating false discovery rates (FDR) by introducing artificially generated sequences (decoys) that mimic real proteins but do not correspond to actual proteins in the sample, thereby allowing researchers to assess the reliability of their identifications.
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