Medical College of Wisconsin
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Visualize: a free and open source multifunction tool for proteomics data analysis. Proteomics 2011 Mar;11(6):1058-63 PMID: 21365761 PMCID: PMC3816356

Abstract

A major challenge in the field of high-throughput proteomics is the conversion of the large volume of experimental data that is generated into biological knowledge. Typically, proteomics experiments involve the combination and comparison of multiple data sets and the analysis and annotation of these combined results. Although there are some commercial applications that provide some of these functions, there is a need for a free, open source, multifunction tool for advanced proteomics data analysis. We have developed the Visualize program that provides users with the abilities to visualize, analyze, and annotate proteomics data; combine data from multiple runs, and quantitate differences between individual runs and combined data sets. Visualize is licensed under GNU GPL and can be downloaded from http://proteomics.mcw.edu/visualize. It is available as compiled client-based executable files for both Windows and Mac OS X platforms as well as PERL source code.

Author List

Halligan BD, Greene AS

Author

Andrew S. Greene PhD Interim Vice Chair, Chief, Professor in the Biomedical Engineering department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Algorithms
Amino Acid Sequence
Computational Biology
Computer Simulation
Data Interpretation, Statistical
Databases, Protein
Humans
Mass Spectrometry
Protein Array Analysis
Proteins
Proteomics
Software



View this publication's entry at the Pubmed website PMID: 21365761
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