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. 2008 Nov 1;24(21):2534-6.
doi: 10.1093/bioinformatics/btn323. Epub 2008 Jul 7.

ProteoWizard: open source software for rapid proteomics tools development

Darren Kessner  1 , Matt Chambers, Robert Burke, David Agus, Parag Mallick
Affiliations

ProteoWizard: open source software for rapid proteomics tools development

Darren Kessner et al. Bioinformatics. .

"VSports手机版" Abstract

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 VSports手机版. 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 V体育安卓版. 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. .

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Figures

Fig. 1.
Fig. 1.
ProteoWizard architecture.
Fig. 2.
Fig. 2.
Architecture of msAccess tool (utility and data layers).
Fig. 3.
Fig. 3.
msPicture output.
See this image and copyright information in PMC

References

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    1. Kohlbacher O, et al. TOPP–the OpenMS proteomics pipeline. Bioinformatics. 2007;23:e191–e197. - PubMed
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    1. Pedrioli PG, et al. A common open representation of mass spectrometry data and its application to proteomics research. Nat. Biotechnol. 2004;22:1459–1466. - PubMed (VSports app下载)
    1. Rauch A, et al. Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments. J. Proteome Res. 2006;5:112–121. - PubMed

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