The Drosophila melanogaster PeptideAtlas facilitates the use of peptide data for improved fly proteomics and genome annotation1Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland 2Center for Model Organism Proteomes, University of Zurich, 8057 Zurich, Switzerland 3Ph.D. Program in Molecular Life Sciences, University of Zurich, 8093 Zurich, Switzerland 4Institute for Systems Biology, Seattle, WA 98103-8904, USA 5Incorporated Research Institutions for Seismology, Data Management Center, Seattle, WA 98105, USA 6National Institute of Standards & Technology, Gaithersburg, MD 20899-8380, USA 7Faculty of Science, University of Zurich, 8057 Zurich, Switzerland 8Center for Systems Physiology and Metabolic Diseases, ETH Zurich, 8093 Zurich, Switzerland
BMC Bioinformatics 2009, 10:59doi:10.1186/1471-2105-10-59
AbstractBackgroundCrucial foundations of any quantitative systems biology experiment are correct genome and proteome annotations. Protein databases compiled from high quality empirical protein identifications that are in turn based on correct gene models increase the correctness, sensitivity, and quantitative accuracy of systems biology genome-scale experiments. ResultsIn this manuscript, we present the Drosophila melanogaster PeptideAtlas, a fly proteomics and genomics resource of unsurpassed depth. Based on peptide mass spectrometry data collected in our laboratory the portal http://www.drosophila-peptideatlas.org webcite allows querying fly protein data observed with respect to gene model confirmation and splice site verification as well as for the identification of proteotypic peptides suited for targeted proteomics studies. Additionally, the database provides consensus mass spectra for observed peptides along with qualitative and quantitative information about the number of observations of a particular peptide and the sample(s) in which it was observed. ConclusionPeptideAtlas is an open access database for the Drosophila community that has several features and applications that support (1) reduction of the complexity inherently associated with performing targeted proteomic studies, (2) designing and accelerating shotgun proteomics experiments, (3) confirming or questioning gene models, and (4) adjusting gene models such that they are in line with observed Drosophila peptides. While the database consists of proteomic data it is not required that the user is a proteomics expert. |




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