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author Chambers, Matthew C.
Maclean, Brendan
Burke, Robert
Amodei, Dario
Ruderman, Daniel L
Neumann, Steffen
Gatto, Laurent
Fischer, Bernd
Pratt, Brian
Egertson, Jarrett
Hoff, Katherine
Kessner, Darren
Tasman, Natalie
Shulman, Nicholas
Frewen, Barbara
Baker, Tahmina A.
Brusniak, Mi-Youn
Paulse, Christopher
Creasy, David
Flashner, Lisa
Kani, Kian
Moulding, Chris
Seymour, Sean L.
Nuwaysir, Lydia M.
Lefebvre, Brent
Kuhlmann, Frank
Roark, Joe
Rainer, Paape
Detlev, Suckau
Hemenway, Tina
Huhmer, Andreas
Langridge, James
Connolly, Brian
Chadick, Trey
Holly, Krisztina
Eckels, Josh
Deutsch, Eric W.
Moritz, Robert L
Katz, Jonathan E.
Agus, David B.
MacCoss, Michael
Tabb, David L.
Mallick, Parag
author_facet Chambers, Matthew C.
Maclean, Brendan
Burke, Robert
Amodei, Dario
Ruderman, Daniel L
Neumann, Steffen
Gatto, Laurent
Fischer, Bernd
Pratt, Brian
Egertson, Jarrett
Hoff, Katherine
Kessner, Darren
Tasman, Natalie
Shulman, Nicholas
Frewen, Barbara
Baker, Tahmina A.
Brusniak, Mi-Youn
Paulse, Christopher
Creasy, David
Flashner, Lisa
Kani, Kian
Moulding, Chris
Seymour, Sean L.
Nuwaysir, Lydia M.
Lefebvre, Brent
Kuhlmann, Frank
Roark, Joe
Rainer, Paape
Detlev, Suckau
Hemenway, Tina
Huhmer, Andreas
Langridge, James
Connolly, Brian
Chadick, Trey
Holly, Krisztina
Eckels, Josh
Deutsch, Eric W.
Moritz, Robert L
Katz, Jonathan E.
Agus, David B.
MacCoss, Michael
Tabb, David L.
Mallick, Parag
author_sort Chambers, Matthew C.
collection PubMed
description Mass-spectrometry-based proteomics has become an important component of biological research. Numerous proteomics methods have been developed to identify and quantify the proteins in biological and clinical samples(1), identify pathways affected by endogenous and exogenous perturbations(2), and characterize protein complexes(3). Despite successes, the interpretation of vast proteomics datasets remains a challenge. There have been several calls for improvements and standardization of proteomics data analysis frameworks, as well as for an application-programming interface for proteomics data access(4,5). In response, we have developed the ProteoWizard Toolkit, a robust set of open-source, software libraries and applications designed to facilitate proteomics research. The libraries implement the first-ever, non-commercial, unified data access interface for proteomics, bridging field-standard open formats and all common vendor formats. In addition, diverse software classes enable rapid development of vendor-agnostic proteomics software. Additionally, ProteoWizard projects and applications, building upon the core libraries, are becoming standard tools for enabling significant proteomics inquiries.
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spelling pubmed-34716742013-04-10 A Cross-platform Toolkit for Mass Spectrometry and Proteomics Chambers, Matthew C. Maclean, Brendan Burke, Robert Amodei, Dario Ruderman, Daniel L Neumann, Steffen Gatto, Laurent Fischer, Bernd Pratt, Brian Egertson, Jarrett Hoff, Katherine Kessner, Darren Tasman, Natalie Shulman, Nicholas Frewen, Barbara Baker, Tahmina A. Brusniak, Mi-Youn Paulse, Christopher Creasy, David Flashner, Lisa Kani, Kian Moulding, Chris Seymour, Sean L. Nuwaysir, Lydia M. Lefebvre, Brent Kuhlmann, Frank Roark, Joe Rainer, Paape Detlev, Suckau Hemenway, Tina Huhmer, Andreas Langridge, James Connolly, Brian Chadick, Trey Holly, Krisztina Eckels, Josh Deutsch, Eric W. Moritz, Robert L Katz, Jonathan E. Agus, David B. MacCoss, Michael Tabb, David L. Mallick, Parag Nat Biotechnol Article Mass-spectrometry-based proteomics has become an important component of biological research. Numerous proteomics methods have been developed to identify and quantify the proteins in biological and clinical samples(1), identify pathways affected by endogenous and exogenous perturbations(2), and characterize protein complexes(3). Despite successes, the interpretation of vast proteomics datasets remains a challenge. There have been several calls for improvements and standardization of proteomics data analysis frameworks, as well as for an application-programming interface for proteomics data access(4,5). In response, we have developed the ProteoWizard Toolkit, a robust set of open-source, software libraries and applications designed to facilitate proteomics research. The libraries implement the first-ever, non-commercial, unified data access interface for proteomics, bridging field-standard open formats and all common vendor formats. In addition, diverse software classes enable rapid development of vendor-agnostic proteomics software. Additionally, ProteoWizard projects and applications, building upon the core libraries, are becoming standard tools for enabling significant proteomics inquiries. 2012-10 /pmc/articles/PMC3471674/ /pubmed/23051804 http://dx.doi.org/10.1038/nbt.2377 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Chambers, Matthew C.
Maclean, Brendan
Burke, Robert
Amodei, Dario
Ruderman, Daniel L
Neumann, Steffen
Gatto, Laurent
Fischer, Bernd
Pratt, Brian
Egertson, Jarrett
Hoff, Katherine
Kessner, Darren
Tasman, Natalie
Shulman, Nicholas
Frewen, Barbara
Baker, Tahmina A.
Brusniak, Mi-Youn
Paulse, Christopher
Creasy, David
Flashner, Lisa
Kani, Kian
Moulding, Chris
Seymour, Sean L.
Nuwaysir, Lydia M.
Lefebvre, Brent
Kuhlmann, Frank
Roark, Joe
Rainer, Paape
Detlev, Suckau
Hemenway, Tina
Huhmer, Andreas
Langridge, James
Connolly, Brian
Chadick, Trey
Holly, Krisztina
Eckels, Josh
Deutsch, Eric W.
Moritz, Robert L
Katz, Jonathan E.
Agus, David B.
MacCoss, Michael
Tabb, David L.
Mallick, Parag
A Cross-platform Toolkit for Mass Spectrometry and Proteomics
title A Cross-platform Toolkit for Mass Spectrometry and Proteomics
title_full A Cross-platform Toolkit for Mass Spectrometry and Proteomics
title_fullStr A Cross-platform Toolkit for Mass Spectrometry and Proteomics
title_full_unstemmed A Cross-platform Toolkit for Mass Spectrometry and Proteomics
title_short A Cross-platform Toolkit for Mass Spectrometry and Proteomics
title_sort cross-platform toolkit for mass spectrometry and proteomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3471674/
https://www.ncbi.nlm.nih.gov/pubmed/23051804
http://dx.doi.org/10.1038/nbt.2377
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