The PeptideAtlas project

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...

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Main 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
Format:	Online
Language:	English
Published:	Oxford University Press 2006
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347403/

id	pubmed-1347403
recordtype	oai_dc
spelling	pubmed-13474032006-01-25 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 Article 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 () 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. Oxford University Press 2006-01-01 2005-12-28 /pmc/articles/PMC1347403/ /pubmed/16381952 http://dx.doi.org/10.1093/nar/gkj040 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Desiere, Frank Deutsch, Eric W. King, Nichole L. Nesvizhskii, Alexey I. Mallick, Parag Eng, Jimmy Chen, Sharon Eddes, James Loevenich, Sandra N. Aebersold, Ruedi
spellingShingle	Desiere, Frank Deutsch, Eric W. King, Nichole L. Nesvizhskii, Alexey I. Mallick, Parag Eng, Jimmy Chen, Sharon Eddes, James Loevenich, Sandra N. Aebersold, Ruedi The PeptideAtlas project
author_facet	Desiere, Frank Deutsch, Eric W. King, Nichole L. Nesvizhskii, Alexey I. Mallick, Parag Eng, Jimmy Chen, Sharon Eddes, James Loevenich, Sandra N. Aebersold, Ruedi
author_sort	Desiere, Frank
title	The PeptideAtlas project
title_short	The PeptideAtlas project
title_full	The PeptideAtlas project
title_fullStr	The PeptideAtlas project
title_full_unstemmed	The PeptideAtlas project
title_sort	peptideatlas project
description	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 () 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.
publisher	Oxford University Press
publishDate	2006
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347403/
_version_	1611380343071309824

The PeptideAtlas project

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