Title
Kappa-View4: A Metabolic Pathway Database For Representation And Analysis Of Correlation Networks Of Gene Co-Expression And Metabolite Co-Accumulation And Omics Data
Abstract
Correlations of gene-to-gene co-expression and metabolite-to-metabolite co-accumulation calculated from large amounts of transcriptome and metabolome data are useful for uncovering unknown functions of genes, functional diversities of gene family members and regulatory mechanisms of metabolic pathway flows. Many databases and tools are available to interpret quantitative transcriptome and metabolome data, but there are only limited ones that connect correlation data to biological knowledge and can be utilized to find biological significance of it. We report here a new metabolic pathway database, KaPPA-View4 (http://kpv.kazusa.or.jp/kpv4/), which is able to overlay gene-to-gene and/or metabolite-to-metabolite relationships as curves on a metabolic pathway map, or on a combination of up to four maps. This representation would help to discover, for example, novel functions of a transcription factor that regulates genes on a metabolic pathway. Pathway maps of the Kyoto Encyclopedia of Genes and Genomes (KEGG) and maps generated from their gene classifications are available at KaPPA-View4 KEGG version (http://kpv.kazusa.or.jp/kpv4-kegg/). At present, gene co-expression data from the databases ATTED-II, COXPRESdb, CoP and MiBASE for human, mouse, rat, Arabidopsis, rice, tomato and other plants are available.
Year
DOI
Venue
2011
10.1093/nar/gkq989
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
gene regulatory networks,gene expression profiling,metabolome,internet,metabolic pathway
Metabolome,Gene,Biology,Metabolic pathway,Transcriptome,KEGG,Genetics,Gene regulatory network,Gene family,Gene expression profiling,Database
Journal
Volume
Issue
ISSN
39
Database issue
0305-1048
Citations 
PageRank 
References 
0
0.34
10
Authors
20