The PeptideAtlas project

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ID: 301840
2005
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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.
Reference Key
openalex_W2161811833 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Frank Desiere
Journal Nucleic Acids Research
Year 2005
DOI
10.1093/nar/gkj040
URL
https://academic.oup.com/nar/article-pdf/34/suppl_1/D655/3924258/gkj040.pdf
Keywords Keywords not found

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