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Open Access Publications from the University of California

Proteomics for Validation of Automated Gene Model Predictions

  • Author(s): Zhou, Kemin
  • Panisko, Ellen A.
  • Magnuson, Jon K.
  • Baker, Scott E.
  • Grigoriev, Igor V.
  • et al.

High-throughput liquid chromatography mass spectrometry (LC-MS)-based proteomic analysis has emerged as a powerful tool for functional annotation of genome sequences. These analyses complement the bioinformatic and experimental tools used for deriving, verifying, and functionally annotating models of genes and their transcripts. Furthermore, proteomics extends verification and functional annotation to the level of the translation product of the gene model.

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