Literature DB >> 18428742

Using the KEGG database resource.

Kiyoko F Aoki1, Minoru Kanehisa.   

Abstract

KEGG (Kyoto Encyclopedia of Genes and Genomes) is a bioinformatics resource for understanding the functions and utilities of cells and organisms from both high-level and genomic perspectives. It is a self-sufficient, integrated resource consisting of genomic, chemical, and network information, with cross-references to numerous outside databases, containing a complete set of building blocks (genes and molecules) and wiring diagrams (interaction networks) to represent cellular functions. This unit describes protocols for using KEGG, KEGG PATHWAY, KEGG GENES, KEGG SSDB, KEGG EXPRESSION, and KEGG LIGAND. Protocols are also described for how to color maps, compare chemical compounds and glycan chains, analyze Ortholog Clusters, and visualize and analyze microarray data, among other procedures. All of these many protocols enable the user to take advantage of the full breadth of the functionality provided by KEGG.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 18428742     DOI: 10.1002/0471250953.bi0112s11

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  43 in total

1.  Computational tools for the interactive exploration of proteomic and structural data.

Authors:  John H Morris; Elaine C Meng; Thomas E Ferrin
Journal:  Mol Cell Proteomics       Date:  2010-06-04       Impact factor: 5.911

2.  CellMinerHCC: a microarray-based expression database for hepatocellular carcinoma cell lines.

Authors:  Frank Staib; Markus Krupp; Thorsten Maass; Timo Itzel; Arndt Weinmann; Ju-Seog Lee; Bertil Schmidt; Martina Müller; Snorri S Thorgeirsson; Peter R Galle; Andreas Teufel
Journal:  Liver Int       Date:  2013-09-09       Impact factor: 5.828

Review 3.  Gene expression profiling of the brain: pondering facts and fiction.

Authors:  Amanda C Mitchell; Károly Mirnics
Journal:  Neurobiol Dis       Date:  2011-06-14       Impact factor: 5.996

4.  Identification of small exonic CNV from whole-exome sequence data and application to autism spectrum disorder.

Authors:  Christopher S Poultney; Arthur P Goldberg; Elodie Drapeau; Yan Kou; Hala Harony-Nicolas; Yuji Kajiwara; Silvia De Rubeis; Simon Durand; Christine Stevens; Karola Rehnström; Aarno Palotie; Mark J Daly; Avi Ma'ayan; Menachem Fromer; Joseph D Buxbaum
Journal:  Am J Hum Genet       Date:  2013-10-03       Impact factor: 11.025

5.  Plant Lipid Databases.

Authors:  Peter Dörmann
Journal:  Methods Mol Biol       Date:  2021

6.  Common genetic variation in the sex hormone metabolic pathway and endometrial cancer risk: pathway-based evaluation of candidate genes.

Authors:  Hannah P Yang; Jesus Gonzalez Bosquet; Qizhai Li; Elizabeth A Platz; Louise A Brinton; Mark E Sherman; James V Lacey; Mia M Gaudet; Laurie A Burdette; Jonine D Figueroa; Julia G Ciampa; Jolanta Lissowska; Beata Peplonska; Stephen J Chanock; Montserrat Garcia-Closas
Journal:  Carcinogenesis       Date:  2010-01-06       Impact factor: 4.944

7.  Library of molecular associations: curating the complex molecular basis of liver diseases.

Authors:  Stefan Buchkremer; Jasmin Hendel; Markus Krupp; Arndt Weinmann; Kai Schlamp; Thorsten Maass; Frank Staib; Peter R Galle; Andreas Teufel
Journal:  BMC Genomics       Date:  2010-03-20       Impact factor: 3.969

8.  Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans.

Authors:  Maria D Chikina; Curtis Huttenhower; Coleen T Murphy; Olga G Troyanskaya
Journal:  PLoS Comput Biol       Date:  2009-06-19       Impact factor: 4.475

9.  Human liver rate-limiting enzymes influence metabolic flux via branch points and inhibitors.

Authors:  Min Zhao; Hong Qu
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

10.  Microarray-based approach identifies microRNAs and their target functional patterns in polycystic kidney disease.

Authors:  Priyanka Pandey; Benedikt Brors; Prashant K Srivastava; Andrea Bott; Susanne N E Boehn; Herrmann-Josef Groene; Norbert Gretz
Journal:  BMC Genomics       Date:  2008-12-23       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.