Paper Info
Title
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions.
Abstract
Genome-scale metabolic reconstructions under the Constraint Based Reconstruction and Analysis (COBRA) framework are valuable tools for analyzing the metabolic capabilities of organisms and interpreting experimental data. As the number of such reconstructions and analysis methods increases, there is a greater need for data uniformity and ease of distribution and use.We describe BiGG, a knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. BiGG integrates several published genome-scale metabolic networks into one resource with standard nomenclature which allows components to be compared across different organisms. BiGG can be used to browse model content, visualize metabolic pathway maps, and export SBML files of the models for further analysis by external software packages. Users may follow links from BiGG to several external databases to obtain additional information on genes, proteins, reactions, metabolites and citations of interest.BiGG addresses a need in the systems biology community to have access to high quality curated metabolic models and reconstructions. It is freely available for academic use at http://bigg.ucsd.edu.
Year
DOI
Venue
2010
10.1186/1471-2105-11-213
BMC Bioinformatics
Keywords
Field
DocType
algorithms,structural genomics,genome,genetics,genomics,microarrays,metabolic pathway,metabolic network,bioinformatics,system biology
Genome,Scalable Vector Graphics,Experimental data,Biology,Genomics,Software,Bioinformatics,Computational biology,DNA microarray
Journal
Volume
Issue
ISSN
11
1
1471-2105
Citations 
PageRank 
References 
98
4.27
12
Authors
4
Name
Order
Citations
PageRank
Jan Schellenberger11075.21
Junyoung Park236349.48
Tom M Conrad3984.27
Bernhard O. Palsson475167.99