QuiXoT software package
What is QuiXoT?
The QuiXoT software package is a bioinformatic software package developed especially to provide a set of tools for quantitative proteomics.
The different programs included in the package are:
- pRatio, a validator of SEQUEST identifications,
- RAWToBinStack, to import spectra from Thermo RAW files,
- CSVToQuiXML, to convert data from tab-separated files to QuiXML files,
- QuiXoT, the main program of the package, and the namesake of the whole package,
- QuiXtoQuiX, to analyse protein quantifications performed in the MS1-spectra,
- MascotToQuiXML, to convert Mascot's DAT files into QuiXML files (no longer updated),
- mgfToBinStack, to import spectral data from Mascot's MGF files to binStack (no longer updated),
- XMLTool, a lightweight, multi-purpose program to operate with large QuiXML files, or other XML file.
Why QuiXoT?
The tools available to the scientific community to quantitate and make statistical analyses in large scale quantitative proteomic experiments were very limited. For this reason we started developing QuiXoT in our laboratory.
In 2006 we started developing a tool for 18O isotope-labeling experiments able to automatically extract well assigned spectra, quantitate the data and make a fast statistical analysis. Everything within one hour.
Later, in February 2009, we decided to expand the software in order to analyze any type of isotopic labeling and to accept data from the most common mass-spectrometres.
Who is behind QuiXoT?
QuiXoT has been developed originally by Pedro Navarro and afterwards by Marco Trevisan-Herraz, at the Cardiovascular Proteomics Lab of Prof. Jesús Vázquez, within the Centro Nacional de Investigaciones Cardiovasculares (CNIC), in Madrid, Spain (originally at the Protein Chemistry and Proteomics Lab, in the Centro de Biología Molecular Severo Ochoa, CBM-CSIC).
The QuiXoT logo has been designed by José Pérez Pérez and Pedro Navarro.
Try QuiXoT!
You can download the executables of the different programs from their corresponding article. The source code will be available soon.
You can start checking the unit tests, or start using your own data (note that depending on your analysis, you may need to change the configuration files).
References
- I. Jorge, P. Navarro, P. Martinez-Acedo, et al., «Statistical model to analyze quantitative proteomics data obtained by 18O/16O labeling and linear ion trap mass spectrometry: Application to the study of VEGF-induced angiogenesis in endothelial cells», Mol Cell Proteomics , (2009) (DOI: 10.1074/mcp.M800260-MCP200)
- P. Navarro, M. Trevisan-Herraz, E. Bonzon-Kulichenko, et al., «General Statistical Framework for Quantitative Proteomics by Stable Isotope Labeling», J Proteome Res , (2014) (DOI: 10.1021/pr4006958)
