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ProteoWizard: open source software for rapid proteomics tools development

Summary: The ProteoWizard software project provides a modular and extensible set of open-source, cross-platform tools and libraries. The tools perform proteomics data analyses; the libraries enable rapid tool creation by providing a robust, pluggable development framework that simplifies and unifies...

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Detalles Bibliográficos
Autores principales: Kessner, Darren, Chambers, Matt, Burke, Robert, Agus, David, Mallick, Parag
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732273/
https://www.ncbi.nlm.nih.gov/pubmed/18606607
http://dx.doi.org/10.1093/bioinformatics/btn323
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author Kessner, Darren
Chambers, Matt
Burke, Robert
Agus, David
Mallick, Parag
author_facet Kessner, Darren
Chambers, Matt
Burke, Robert
Agus, David
Mallick, Parag
author_sort Kessner, Darren
collection PubMed
description Summary: The ProteoWizard software project provides a modular and extensible set of open-source, cross-platform tools and libraries. The tools perform proteomics data analyses; the libraries enable rapid tool creation by providing a robust, pluggable development framework that simplifies and unifies data file access, and performs standard proteomics and LCMS dataset computations. The library contains readers and writers of the mzML data format, which has been written using modern C++ techniques and design principles and supports a variety of platforms with native compilers. The software has been specifically released under the Apache v2 license to ensure it can be used in both academic and commercial projects. In addition to the library, we also introduce a rapidly growing set of companion tools whose implementation helps to illustrate the simplicity of developing applications on top of the ProteoWizard library. Availability: Cross-platform software that compiles using native compilers (i.e. GCC on Linux, MSVC on Windows and XCode on OSX) is available for download free of charge, at http://proteowizard.sourceforge.net. This website also provides code examples, and documentation. It is our hope the ProteoWizard project will become a standard platform for proteomics development; consequently, code use, contribution and further development are strongly encouraged. Contact: darren@proteowizard.org; parag@ucla.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-27322732009-08-27 ProteoWizard: open source software for rapid proteomics tools development Kessner, Darren Chambers, Matt Burke, Robert Agus, David Mallick, Parag Bioinformatics Applications Note Summary: The ProteoWizard software project provides a modular and extensible set of open-source, cross-platform tools and libraries. The tools perform proteomics data analyses; the libraries enable rapid tool creation by providing a robust, pluggable development framework that simplifies and unifies data file access, and performs standard proteomics and LCMS dataset computations. The library contains readers and writers of the mzML data format, which has been written using modern C++ techniques and design principles and supports a variety of platforms with native compilers. The software has been specifically released under the Apache v2 license to ensure it can be used in both academic and commercial projects. In addition to the library, we also introduce a rapidly growing set of companion tools whose implementation helps to illustrate the simplicity of developing applications on top of the ProteoWizard library. Availability: Cross-platform software that compiles using native compilers (i.e. GCC on Linux, MSVC on Windows and XCode on OSX) is available for download free of charge, at http://proteowizard.sourceforge.net. This website also provides code examples, and documentation. It is our hope the ProteoWizard project will become a standard platform for proteomics development; consequently, code use, contribution and further development are strongly encouraged. Contact: darren@proteowizard.org; parag@ucla.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2008-11-01 2008-07-07 /pmc/articles/PMC2732273/ /pubmed/18606607 http://dx.doi.org/10.1093/bioinformatics/btn323 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Kessner, Darren
Chambers, Matt
Burke, Robert
Agus, David
Mallick, Parag
ProteoWizard: open source software for rapid proteomics tools development
title ProteoWizard: open source software for rapid proteomics tools development
title_full ProteoWizard: open source software for rapid proteomics tools development
title_fullStr ProteoWizard: open source software for rapid proteomics tools development
title_full_unstemmed ProteoWizard: open source software for rapid proteomics tools development
title_short ProteoWizard: open source software for rapid proteomics tools development
title_sort proteowizard: open source software for rapid proteomics tools development
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732273/
https://www.ncbi.nlm.nih.gov/pubmed/18606607
http://dx.doi.org/10.1093/bioinformatics/btn323
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