ProteoWizard: open source software for rapid proteomics tools development

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ID: 291086
2008
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Abstract
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. 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.
Reference Key
openalex_W2027974246 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Darren Kessner, Matt Chambers, Robert Burke, David B. Agus, Parag Mallick
Journal BMC Bioinformatics
Year 2008
DOI
10.1093/bioinformatics/btn323
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