ProteoWizard specifications
- Unique identifier:
- OMICS_03354
- Interface:
- Command line interface
- Operating system:
- Unix/Linux
- License:
- Apache License version 2.0
- Stability:
- Stable
- Wikipedia:
- https://en.wikipedia.org/wiki/ProteoWizard
- Software type:
- Package/Module
- Restrictions to use:
- None
- Programming languages:
- C++
- Computer skills:
- Advanced
- Maintained:
- Yes
Subtools
- ProteoWizard
- msConvert
versioning
No versioning.
ProteoWizard distribution
download
ProteoWizard support
Maintainer
- Samuel H. Payne <>
forum
No open topic.
Credits
Publications
-
(Chambers et al., 2012)
A cross-platform toolkit for mass spectrometry and proteomics.
Nat Biotechnol.
PMID: 23051804 DOI: 10.1038/nbt.2377 -
(Kessner et al., 2008)
ProteoWizard: open source software for rapid proteomics tools development.
Bioinformatics.
PMID: 18606607 DOI: 10.1093/bioinformatics/btn323 -
(Gibbons et al., 2015)
Correcting systematic bias and instrument measurement drift with mzRefinery.
Bioinformatics.
PMID: 26243018 DOI: 10.1093/bioinformatics/btv437
Institution(s)
Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA; Center for Applied Molecular Medicine, University of Southern California, Los Angeles, CA, USA; USC Stevens Institute for Innovation, University of Southern California, Los Angeles, CA, USA; Insilicos, Seattle, WA, USA; Matrix Science, Boston, MA, USA; Department of Stress & Developmental Biology, Leibniz Institute for Plant Biochemistry, Halle (Saale), Germany; Proteomics Services, Cambridge Centre for Proteomics, Cambridge,UK; AB SCIEX, Foster City, CA, USA; AB SCIEX, Concord, ON, Canada; Agilent Technologies, Santa Clara, CA, USA; Bruker Daltonik GmbH, Bremen, Germany; Thermo Fisher Scientific, San Jose, CA, USA; Waters Corporation, Manchester, UK; LabKey Software, Seattle, WA, USA; Institute for Systems Biology, Seattle, WA, USA; Genome Biology, EMBL Heidelberg, Heidelberg, Germany; Canary Center for Cancer Early Detection, Stanford University, Stanford, CA, USA
Funding source(s)
This work is supported by the Wunderkinder Foundation, Redstone Family Foundation, and National Cancer Institute and National Institutes of Health grants and contracts P41 RR011823, CCNE-TR 5U54CA119367, CCNE-T 1U54CA151459, PSOC-MCSTART 5U54CA143907, R01CA126218 and U24CA126479, by National Science Foundation MRI grant No. 0923536, and by the European Union 7th Framework Program PRIME-XS project, grant agreement number 262067.
User review
1 user review
1 user review
Proteowizard written in C ++, provides a clear and readable interface programming. It is based on modern design and application of new standards c ++ 11 (including smart pointers). It also provides many algorithms for processing data spectrometry (peak picking ...) and allows the reading of many raw files owners. This is an indispensable tool for application developers proteomics / metabolomics. The only downside is that it still uses a build system based on bjam that requires a long learning curve.
