UNIT 13.19 PatternLab: From Mass Spectra to Label-Free Differential Shotgun Proteomics
Published Online: 1 DEC 2012
Copyright © 2012 by John Wiley & Sons, Inc.
Lab Protocol Title
Current Protocols in Bioinformatics
How to Cite
Carvalho, P. C., Fischer, J. S. G., Xu, T., Yates, J. R. and Barbosa, V. C. 2012. PatternLab: From Mass Spectra to Label-Free Differential Shotgun Proteomics. Current Protocols in Bioinformatics. 40:13.19:13.19.1–13.19.18.
- Published Online: 1 DEC 2012
PatternLab for proteomics is a self-contained computational environment for analyzing shotgun proteomic data. Recent improvements incorporate modules to facilitate the computational analysis, such as FastaDBXtractor for sequence database preparation and ProLuCID runner for simplifying and managing the protein identification search engine; modules for pushing the limits on proteomics standards, such as SEPro, which relies on a semi-labeled decoy approach for increasing confidence in filtering and organizing peptide spectrum matches; and modules with novel features, such as SEProQ for enabling label-free quantitation by extracted ion chromatograms according to a distributed normalized ion abundance factor approach (dNIAF). Existing modules were also improved, such as the TFold module for pinpointing differentially expressed proteins. These new modules are integrated into the previously described arsenal of tools for further data analysis. Here we provide detailed instructions for operating and understanding them. Curr. Protoc. Bioinform. 40:13.19.1-13.19.18. © 2012 by John Wiley & Sons, Inc.
- semi-labeled decoy approach;
- filtering PSMs;
- quantitative proteomics;
- protein identification