Abstract
We have developed the Proteome Discovery Pipeline, a stand-alone bioinformatics platform used for LC/MS data analysis and biomarker discovery. Data is processed in a series of self-contained analytical steps using modules that are controlled by a graphical user interface. The user interface was developed in Visual C++ 6.0 and provides a multi-threaded, tabbed user interface with each tab representing a step in the analysis process. Modules included are spectrum deconvolution, alignment, normalization, significance tests and pattern recognition. Modules consist of applications developed in C++ and the R scripting language, which are called as external processes from the GUI using inputted parameters. Molecular correlation analysis can be viewed interactively using SysNet. Figure 1 shows the architecture of the Proteome Discovery Pipeline.
Date of this Version
7-8-2008
DOI
10.1186/1471-2105-9-S7-P21
Comments
This is the publisher pdf of Erik Gough, Cheolhwan Oh, Jing He, Catherine P Riley, Charles R Buck, Xiang Zhang. Proteome Discovery Pipeline for Mass Spectrometry-Based Proteomics. BMC Bioinformatics 2008, 9(Suppl 7):P21 (8 July 2008) and is available at: 10.1186/1471-2105-9-S7-P21.