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Resource:Microarray DB

Name: Resource:Microarray DB
Description: Pathway-level visualization of the gene expression data is essential for the systematic understanding of the inner activities of cells. For this purpose, we present a tool for mapping transcriptome data onto KEGG pathways and for creating a web-based database with an overview of the entire pathway. Several databases of transcriptome data obtained at Mori Laboratory, Nara Institute of Science and Technology, Japan, are also presented below.

Abstract
Pathway-level visualization of omics data provides an essential means for systems biology, to capture the systematic properties of the inner activities of cells. Here we describe a web-based resource consisting of a web-application for the visualization of complex omics data onto KEGG pathways to overview all entities in the context of cellular pathways, and databases created with the software to visualize a series of microarray data. The web-application accepts transcriptome, proteome, metabolome, or the combination of these data as input, and because of this scalability it is advantageous for the visualization of cell simulation results. The web server can be accessed at http://www.g-language.org/data/marray/.

Sponsor.

This research was supported by the Japan Society for the Promotion of Science (JSPS), and CREST of JST (Japan Science and Technology).
Other Name(s): Microarray DB
Parent Organization: Keio University; Tokyo; Japan
Related to: Resource:3DVC
Resource Type(s): Database
Keywords: KEGG, pathway visualization, systems biology, microarray, transcriptome, metabolome
Resource: Resource
URL: http://www.g-language.org/data/marray
Id: nif-0000-30594
Link to OWL / RDF: Download this content as OWL/RDF

Curation status: Curated

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Facts about Resource:Microarray DBRDF feed
CurationStatusuncurated  +
DefiningCitationhttp://www.g-language.org/data/marray  +
DefinitionPathway-level visualization of the gene ex Pathway-level visualization of the gene expression data is essential for the systematic understanding of the inner activities of cells. For this purpose, we present a tool for mapping transcriptome data onto KEGG pathways and for creating a web-based database with an overview of the entire pathway. Several databases of transcriptome data obtained at Mori Laboratory, Nara Institute of Science and Technology, Japan, are also presented below.

Abstract
Pathway-level visualization of omics data provides an essential means for systems biology, to capture the systematic properties of the inner activities of cells. Here we describe a web-based resource consisting of a web-application for the visualization of complex omics data onto KEGG pathways to overview all entities in the context of cellular pathways, and databases created with the software to visualize a series of microarray data. The web-application accepts transcriptome, proteome, metabolome, or the combination of these data as input, and because of this scalability it is advantageous for the visualization of cell simulation results. The web server can be accessed at http://www.g-language.org/data/marray/.

Sponsor.

This research was supported by the Japan Society for the Promotion of Science (JSPS), and CREST of JST (Japan Science and Technology).
JST (Japan Science and Technology).
Has default formThis property is a special property in this wiki.Resource  +
Has roleDatabase  +
Idnif-0000-30594  +
Is part ofKeio University; Tokyo; Japan  +
KeywordsKEGG  +, Pathway visualization  +, Systems biology  +, Microarray  +, Transcriptome  +, and Metabolome  +
LabelResource:Microarray DB  +
ModifiedDate4 June 2013  +
Page has default formThis property is a special property in this wiki.Resource  +
RelatedToResource:3DVC  +
SuperCategoryResource  +
SynonymMicroarray DB  +