J-GLOBAL ID:201410090566280150   Research Resource code:NBDC00525 Update date:Jun. 17, 2013

KaPPA-View 4: Kazusa Plant Pathway Viewer

KaPPA-View 4: Kazusa Plant Pathway Viewer
Resource classification: Data,Database
Tag (subject)  (3): cDNA/EST ,  Protein ,  Metabolite
Tag (data type)  (2): Expression ,  Interaction/Pathway
Species (10): Arabidopsis thaliana (NCBI Taxonomy ID: 3702) ,  Oryza sativa (NCBI Taxonomy ID: 4530) ,  Solanum lycopersicum (NCBI Taxonomy ID: 4081) ,  Lotus japonicus (NCBI Taxonomy ID: 34305) ,  Glycine max (NCBI Taxonomy ID: 3847) ,  Hordeum vulgare (NCBI Taxonomy ID: 4513) ,  Populus (NCBI Taxonomy ID: 3689) ,  Triticum aestivum (NCBI Taxonomy ID: 4565) ,  Vitis vinifera (NCBI Taxonomy ID: 29760) ,  Zea mays (NCBI Taxonomy ID: 4577)
This web-based tool, KaPPA-View4, represents -omics data on plant metabolic pathway maps that users upload. Differences in gene expressions and metabolite accumulation between samples are visually represented as hue of the gene and metabolite symbols. gene-to-gene and metabolite-to-metabolite relationships, including correlation coefficients of gene co-expressions can be overlayed on the pathway maps. This helps to better understand transcripts and metabolites when examining the roles of genes in the metabolic pathway. The system has been revised, and the processing speed was improved compared to previous versions. Both Windows and Mac OS X are fully supported now and all features of the database are available. Users can use their own metabolic pathway maps for analyses. After uploading DNA microarray or metabolite data, fitting data for each gene or compound is displayed on a metabolic pathway map.
Source: NBDC
Record maintainer: Integbio Database Catalog
Record license: Creative Commons CC0 license

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