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Title |
RegStatGel: Proteomic software for identifying differentially expressed proteins based on 2D gel images |
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Authors |
Feng Li1, 2*, Françoise Seillier-Moiseiwitsch3 |
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Affiliation |
1Department of Mathematics and Statistics, University of Maryland, Baltimore County, Baltimore, Maryland, USA; 2Division of Biometrics II, Office of Biostatistics, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993; 3Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814
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feng.li@fda.hhs.gov; *Corresponding author
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Phone |
3017964974
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Article Type |
Software
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Date |
Received June 10, 2011; Accepted June 13, 2011; Published August 02, 2011
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Abstract |
Image analysis of two-dimensional gel electrophoresis is a key step in proteomic workflow for identifying proteins that change under different experimental conditions. Since there are usually large amount of proteins and variations shown in the gel images, the use of software for analysis of 2D gel images is inevitable. We developed open-source software with graphical user interface for differential analysis of 2D gel images. The user-friendly software, RegStatGel, contains fully automated as well as interactive procedures. It was developed and has been tested under Matlab 7.01.
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Availability |
http://www.mediafire.com/FengLi/2DGelsoftware
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Keywords |
2D gel, 2D PAGE, proteomic software, image analysis, differential analysis, statistical analysis
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Citation |
Li & Seillier-Moiseiwitsch.
Bioinformation 6(10): 389-390 (2011) |
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |