Title
2DDB - a bioinformatics solution for analysis of quantitative proteomics data.
Abstract
We present 2DDB, a bioinformatics solution for storage, integration and analysis of quantitative proteomics data. As the data complexity and the rate with which it is produced increases in the proteomics field, the need for flexible analysis software increases.2DDB is based on a core data model describing fundamentals such as experiment description and identified proteins. The extended data models are built on top of the core data model to capture more specific aspects of the data. A number of public databases and bioinformatical tools have been integrated giving the user access to large amounts of relevant data. A statistical and graphical package, R, is used for statistical and graphical analysis. The current implementation handles quantitative data from 2D gel electrophoresis and multidimensional liquid chromatography/mass spectrometry experiments.The software has successfully been employed in a number of projects ranging from quantitative liquid-chromatography-mass spectrometry based analysis of transforming growth factor-beta stimulated fi-broblasts to 2D gel electrophoresis/mass spectrometry analysis of biopsies from human cervix. The software is available for download at SourceForge.
Year
DOI
Venue
2006
10.1186/1471-2105-7-158
BMC Bioinformatics
Keywords
Field
DocType
data model,mass spectrometry,algorithms,microarrays,bioinformatics,liquid chromatography mass spectrometry,transforming growth factor beta,2d gel electrophoresis
Proteomics,Quantitative proteomics,Gene ontology,Analysis software,Computer science,Proteome,Computational biology,Bioinformatics,DNA microarray,Data complexity
Journal
Volume
Issue
ISSN
7
1
1471-2105
Citations 
PageRank 
References 
23
0.53
9
Authors
5