MaxQuant is a quantitative proteomics software package designed for analyzing large mass-spectrometric data sets. It is specifically aimed at high-resolution MS data. Several labeling techniques as well as label-free quantification are supported. MaxQuant is freely available and can be downloaded from this site. The download includes the search engine andromeda, which is integrated into MaxQuant as well as the viewer application for inspection of raw data and identification and quantification results. For statistical analysis of MaxQuant output, we offer the Perseus framework.
This documentation is organized as a wiki, so if you find anything that is wrong or hard to understand, in most cases you can fix it yourself. The wiki can be browsed by using the links below or by searching with the box in the upper right. Anyone is allowed to read the wiki, but to make changes you will have to register and login using the button in the upper right. If you are an internal user at the MPI of Biochemistry, you can get access to some restricted pages; contact the Cox group after you have registered.
Cox, J. and Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol, 2008, 26, pp 1367-72.
Note that the paper has a large supplement containing in-depth descriptions of algorithms.
Cox, J., Michalski, A., and Mann, M., Software Lock Mass by Two-Dimensional Minimization of Peptide Mass Errors. J Am Soc Mass Spectrom., 2011, 22, pp 1373–1380.
Schaab C., Geiger T., Stoehr G., Cox J., and Mann M. Analysis of High Accuracy, Quantitative Proteomics Data in the MaxQB Database. Mol Cell Proteomics, 2012, 11, M111.014068.
Cox J., Hein M. Y., Luber C. A., Paron I., Nagaraj N., and Mann M., Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ. Mol Cell Proteomics, 2014, 13, pp 2513–2526.
Tyanova, S., Temu, T., Carlson, A., Sinitcyn, P., Mann, M. and Cox, J., Visualization of LC-MS/MS proteomics data in MaxQuant, Proteomics, 2015, 15, pp 1453–1456