False discovery rates in spectral identification

@inproceedings{Jeong2012FalseDR,
  title={False discovery rates in spectral identification},
  author={Kyowon Jeong and Sangtae Kim and Nuno Bandeira},
  booktitle={BMC Bioinformatics},
  year={2012}
}
Automated database search engines are one of the fundamental engines of high-throughput proteomics enabling daily identifications of hundreds of thousands of peptides and proteins from tandem mass (MS/MS) spectrometry data. Nevertheless, this automation also makes it humanly impossible to manually validate the vast lists of resulting identifications from such high-throughput searches. This challenge is usually addressed by using a Target-Decoy Approach (TDA) to impose an empirical False… CONTINUE READING
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A method for reducing the time required to match protein sequences with tandem mass spectra.

Rapid communications in mass spectrometry : RCM • 2003
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