ProteoWizard: open source software for rapid proteomics tools development.
CONCLUSIONS
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.


BACKGROUND
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.
Kessner
Darren
D
Spielberg Family Center for Applied Proteomics, Cedars-Sinai Medical Center, USA. darren@proteowizard.org
Chambers
Matt
M
Burke
Robert
R
Agus
David
D
Mallick
Parag
P
D030562:Databases, Protein; D011506:Proteins / Q000032:analysis / Q000737:chemistry; D020543:Proteome / Q000032:analysis* / Q000737:chemistry; D040901:Proteomics / Q000379:methods*; D012984:Software; D014584:User-Computer Interface
D011506:Proteins; D020543:Proteome