KaPPA-View4: Utilization of pathway maps from KEGG for omics data analyses
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- Sakurai Nozomu
- Kazusa DNA Research Institute
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- Suzuki Hideyuki
- Kazusa DNA Research Institute
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- Shibata Daisuke
- Kazusa DNA Research Institute
Bibliographic Information
- Other Title
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- KaPPA-View4: オミクスデータ解析におけるKEGG代謝経路マップの利用
Abstract
We have been developing a web-based analysis tool, KaPPA-View, which enables to view transcriptome data, metabolome data and gene-coexpression data on the metabolic pathway maps. In addition to the existing system that has pathway map data for Arabidopsis (KaPPA-View4 Classic), we developed another version, KaPPA-Veiw4 KEGG, that installed the genes and pathway maps data acquired from the Kyoto Encyclopedia of Genes and Genomes (KEGG). Users can use 290 sheets of well curated KEGG PATHWAY maps, and 380 sheets of gene family maps that are prepared by us from KEGG BRITE categorization. The set of the maps facilitates the researchers to analyze novel gene functions by utilizing gene-to-gene co-expression data. Utilization of KEGG map also enables the users to analyze not only plant species but also animals and microorganisms. Currently, pathway maps for 20 species and gene co-expression data for 12 species in total are available.<br>URL: http://kpv.kazusa.or.jp/kpv4-kegg/<br>Sakurai et al. (2011) Nuc. Acids Res. Database Issue, in press
Journal
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- Plant and Cell Physiology Supplement
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Plant and Cell Physiology Supplement 2011 (0), 0011-0011, 2011
The Japanese Society of Plant Physiologists
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Details 詳細情報について
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- CRID
- 1390001205631819264
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- NII Article ID
- 130006993201
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed