Welcome to MetNetMetNet is in-development, publicly available software for analysis of genome-wide mRNA, protein, and metabolite profiling data. The software is designed to enable the biologist to visualize, statistically analyze, and model a metabolic and regulatory network map of Arabidopsis, combined with gene expression profiling data.MetNet will provide a framework for the formulation of testable hypotheses regarding the function of specific genes, and in the long term will provide the basis for identification of metabolic and regulatory networks that control plant composition and development. new We now have video-tutorials on our site, to quickly get you up to speed!
The MetNet database (MetNetDB) contains integrative information on networks of metabolic and regulatory and interactions in
Arabidopsis and Soybean. This information is based on input from biologists in their area of expertise. In addition to the
MetNet-curated
interactions, we provide Aracyc-curated pathways and AGRIS-curated regulatory network. The data in MetNetDB is updated regularly.
Types of interactions in MetNetDB include transcription, translation, protein modification, assembly, allosteric regulation, translocation from one subcellular compartment to another. Other fields describing the interactions are subcellular location, confidence, directionality, references, evidence, and synonyms. Data on entities (DNA, RNA, polypeptides, protein complexes, metabolites) are derived from web databases (gene related databases: TAIR, GO, MapMan/GabiPD; protein related databases: PPDB, AMPDB, AtNoPDB, AraPerox, PLprot, BRENDA; metabolite related databases: ChEBI, PubChem, KEGG, NCI compound library, NIST MS library), in some cases with additional annotation by experts. This site has had 349 visitors since November 10, 2009 |
Did you know?You can browse pathways either by organelle or by classificationMetNet toolsexploRaseMetaOmGraph atGeneSearch MetNetAPI More tools... FundingFunding provided by:
National Science Foundation Arabidopsis 2010 MetNet: Integrated Software for Arabidopsis Systems Biology Wurtele (PI), Berleant, Cook, Dickerson, Miller DBI-0520267 (9/2005-9/2008) Additional support from ISU College of Liberal Arts & Sciences and Plant Sciences Institute How to cite MetNet?Wurtele ES, Li L, Berleant D, Cook D, Dickerson JA, Ding J, Hofmann H, Lawrence M, Lee EK, Li J, Mentzen W, Miller L, Nikolau BJ, Ransom N, Wang Y, 2007. MetNet: Systems Biology Software for Arabidopsis. In: Concepts in Plant Metabolomics. Springer. pp 145-158. |
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