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Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas

We present the Saccharomyces cerevisiae PeptideAtlas composed from 47 diverse experiments and 4.9 million tandem mass spectra. The observed peptides align to 61% of Saccharomyces Genome Database (SGD) open reading frames (ORFs), 49% of the uncharacterized SGD ORFs, 54% of S. cerevisiae ORFs with a G...

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Detalles Bibliográficos
Autores principales: King, Nichole L, Deutsch, Eric W, Ranish, Jeffrey A, Nesvizhskii, Alexey I, Eddes, James S, Mallick, Parag, Eng, Jimmy, Desiere, Frank, Flory, Mark, Martin, Daniel B, Kim, Bong, Lee, Hookeun, Raught, Brian, Aebersold, Ruedi
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794584/
https://www.ncbi.nlm.nih.gov/pubmed/17101051
http://dx.doi.org/10.1186/gb-2006-7-11-r106
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author King, Nichole L
Deutsch, Eric W
Ranish, Jeffrey A
Nesvizhskii, Alexey I
Eddes, James S
Mallick, Parag
Eng, Jimmy
Desiere, Frank
Flory, Mark
Martin, Daniel B
Kim, Bong
Lee, Hookeun
Raught, Brian
Aebersold, Ruedi
author_facet King, Nichole L
Deutsch, Eric W
Ranish, Jeffrey A
Nesvizhskii, Alexey I
Eddes, James S
Mallick, Parag
Eng, Jimmy
Desiere, Frank
Flory, Mark
Martin, Daniel B
Kim, Bong
Lee, Hookeun
Raught, Brian
Aebersold, Ruedi
author_sort King, Nichole L
collection PubMed
description We present the Saccharomyces cerevisiae PeptideAtlas composed from 47 diverse experiments and 4.9 million tandem mass spectra. The observed peptides align to 61% of Saccharomyces Genome Database (SGD) open reading frames (ORFs), 49% of the uncharacterized SGD ORFs, 54% of S. cerevisiae ORFs with a Gene Ontology annotation of 'molecular function unknown', and 76% of ORFs with Gene names. We highlight the use of this resource for data mining, construction of high quality lists for targeted proteomics, validation of proteins, and software development.
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spelling pubmed-17945842007-02-08 Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas King, Nichole L Deutsch, Eric W Ranish, Jeffrey A Nesvizhskii, Alexey I Eddes, James S Mallick, Parag Eng, Jimmy Desiere, Frank Flory, Mark Martin, Daniel B Kim, Bong Lee, Hookeun Raught, Brian Aebersold, Ruedi Genome Biol Method We present the Saccharomyces cerevisiae PeptideAtlas composed from 47 diverse experiments and 4.9 million tandem mass spectra. The observed peptides align to 61% of Saccharomyces Genome Database (SGD) open reading frames (ORFs), 49% of the uncharacterized SGD ORFs, 54% of S. cerevisiae ORFs with a Gene Ontology annotation of 'molecular function unknown', and 76% of ORFs with Gene names. We highlight the use of this resource for data mining, construction of high quality lists for targeted proteomics, validation of proteins, and software development. BioMed Central 2006 2006-11-13 /pmc/articles/PMC1794584/ /pubmed/17101051 http://dx.doi.org/10.1186/gb-2006-7-11-r106 Text en Copyright © 2006 King et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
King, Nichole L
Deutsch, Eric W
Ranish, Jeffrey A
Nesvizhskii, Alexey I
Eddes, James S
Mallick, Parag
Eng, Jimmy
Desiere, Frank
Flory, Mark
Martin, Daniel B
Kim, Bong
Lee, Hookeun
Raught, Brian
Aebersold, Ruedi
Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
title Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
title_full Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
title_fullStr Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
title_full_unstemmed Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
title_short Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
title_sort analysis of the saccharomyces cerevisiae proteome with peptideatlas
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794584/
https://www.ncbi.nlm.nih.gov/pubmed/17101051
http://dx.doi.org/10.1186/gb-2006-7-11-r106
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