The PeptideAtlas project
Desiere, Frank ; Deutsch, Eric W. ; King, Nichole L. ; Nesvizhskii, Alexey I. ; Mallick, Parag ; Eng, Jimmy ; Chen, Sharon ; Eddes, James ; Loevenich, Sandra N. ; Aebersold, Ruedi
In: Nucleic Acids Research, 2006, vol. 34, p. D655-D658
Zum persönliche Liste hinzufügen- Summary
- 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