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KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
KEGG PATHWAY Database (Univ. of Kyoto) MANET database ( University of Illinois ) Reactome : navigable map of human biological pathways, ranging from metabolic processes to hormonal signalling ( Ontario Institute for Cancer Research , European Bioinformatics Institute , NYU Langone Medical Center , Cold Spring Harbor Laboratory )
For input, MetPA expects either a list of compound names (identified as statistically significant or significant perturbed) or a metabolite concentration table with phenotypic labels (i.e. sick vs. healthy). The list of compounds can include common names, HMDB IDs or KEGG IDs with one compound per row. Compound concentration tables must have ...
Download QR code; Wikidata item; Print/export Download as PDF; Printable version; Pathway at KEGG Pathway Database. ...
The ‘KEGG Organisms’ section, which is divided into eukaryotes and prokaryotes, encompasses many organisms for which gene and DNA information can be searched by typing in the enzyme of choice. BioCyc, EcoCyc, and MetaCyc : BioCyc Is a collection of 3,000 pathway/genome databases (as of Oct 2013), with each database dedicated to one organism.
Download QR code; Print/export Download as PDF; ... Enzyme at KEGG Pathway Database. This page was last edited on 26 November 2017, at 07:23 (UTC) ...
The KEGG PATHWAY database is a collection of manually drawn pathway maps for metabolism, genetic information processing, environmental information processing such as signal transduction, ligand–receptor interaction and cell communication, various other cellular processes and human diseases, all based on extensive survey of published literature.
STRING imports protein association knowledge from databases of physical interaction and databases of curated biological pathway knowledge (MINT, HPRD, BIND, DIP, BioGRID, KEGG, Reactome, IntAct, EcoCyc, NCI-Nature Pathway Interaction Database, GO). Links are supplied to the originating data of the respective experimental repositories and ...