title: Proteomics for validation of automated gene model predictions.
abstract: 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.
authors.affiliation: US DOE Joint Genome Institute, Walnut Creek, CA, USA.
authors.forename: Kemin
authors.initials: K
authors.lastname: Zhou
authors.forename: Ellen A
authors.initials: EA
authors.lastname: Panisko
authors.forename: Jon K
authors.initials: JK
authors.lastname: Magnuson
authors.forename: Scott E
authors.initials: SE
authors.lastname: Baker
authors.forename: Igor V
authors.initials: IV
authors.lastname: Grigoriev
mesh_terms: D001331:Automation; D005800:Genes, Fungal; D008957:Models, Genetic; D010449:Peptide Mapping; D020075:Phanerochaete / Q000737:chemistry / Q000235:genetics; D040901:Proteomics / Q000379:methods*; D015203:Reproducibility of Results