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- Title
The PeptideAtlas project.
- Authors
Desiere, Frank; Deutsch, Eric W; King, Nichole L; Nesvizhskii, Alexey I; Mallick, Parag; Eng, Jimmy; Chen, Sharon; Eddes, James; Loevenich, Sandra N; Aebersold, Ruedi
- Abstract
The completion of the sequencing of the human genome and the concurrent, rapid development of high-throughput proteomic methods have resulted in an increasing need for automated approaches to archive proteomic data in a repository that enables the exchange of data among researchers and also accurate integration with genomic data. PeptideAtlas (http://www.peptideatlas.org/) addresses these needs by identifying peptides by tandem mass spectrometry (MS/MS), statistically validating those identifications and then mapping identified sequences to the genomes of eukaryotic organisms. A meaningful comparison of data across different experiments generated by different groups using different types of instruments is enabled by the implementation of a uniform analytic process. This uniform statistical validation ensures a consistent and high-quality set of peptide and protein identifications. The raw data from many diverse proteomic experiments are made available in the associated PeptideAtlas repository in several formats. Here we present a summary of our process and details about the Human, Drosophila and Yeast PeptideAtlas builds.
- Publication
Nucleic acids research, 2006, Vol 34, Issue Database issue, pD655
- ISSN
1362-4962
- Publication type
Journal Article
- DOI
10.1093/nar/gkj040