Results 181 to 190 of about 213,970 (199)
Some of the next articles are maybe not open access.

Using the KEGG Database Resource

Current Protocols in Bioinformatics, 2005
AbstractKEGG (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,
Mao Tanabe, Minoru Kanehisa
openaire   +3 more sources

Gene Annotation and Pathway Mapping in KEGG

2007
KEGG is a database resource (http://www.genome.jp/kegg/) that provides all knowledge about genomes and their relationships to biological systems such as cells and whole organisms as well as their interactions with the environment. KEGG is categorized in terms of building blocks in the genomic space, known as KEGG GENES, the chemical space, KEGG LIGAND,
Kiyoko F. Aoki-Kinoshita   +1 more
openaire   +3 more sources

Querying KEGG pathways in logic

International Journal of Data Mining and Bioinformatics, 2014
Understanding the interaction patterns among biological entities in a pathway can potentially reveal the role of the entities in biological systems. Although considerable effort has been contributed to this direction, querying biological pathways remained relatively unexplored.
Hasan M. Jamil   +2 more
openaire   +3 more sources

Glycomic Analysis Using KEGG GLYCAN

2015
This chapter describes the KEGG GLYCAN database of the KEGG resource, including descriptions of links to the other databases in KEGG. In particular, KEGG GLYCAN consists of glycan structures, with links to glycogenes, orthologs, reactions, pathways, drugs, diseases, and others, all within the KEGG resources.
Minoru Kanehisa   +1 more
openaire   +3 more sources

Mining Maximal Frequent Subgraphs in KEGG Reaction Networks

2009 20th International Workshop on Database and Expert Systems Application, 2009
In this paper we employ a recent algorithm by Zantema et al. for detecting maximal frequent subgraphs (MFS) in collections of graphs corresponding tobiological networks from the KEGG database. Each graph of a particular collection corresponds to one organism and represents one pathway or a union of pathways of this organism.
Wpa Willem Ligtenberg   +2 more
openaire   +3 more sources

Common Motifs in KEGG Cancer Pathways

2021
Genes and gene products interact in an integrated and coordinated way to support functions of a living cell. In this research, we analyze these interactions in 17 different types of cancers, focusing on the interactions presented in pathway maps in Kyoto Encyclopedia of Genes and Genomes repository.
Zhong-Hui Duan   +3 more
openaire   +2 more sources

KEGG Bioinformatics Resource for Plant Genomics Research [PDF]

open access: possible, 2007
Kyoto Encyclopedia of Genes and Genomes (KEGG) is a bioinformatics resource for understanding biological function from a genomic perspective. It is a multispecies, integrated resource consisting of genomic, chemical, and network information, with cross-references to numerous outside databases and containing a complete set of building blocks (genes and ...
Takashi R. Endo   +3 more
openaire   +2 more sources

Molecular Network Analysis of Diseases and Drugs in KEGG

2012
KEGG (http://www.genome.jp/kegg/) is an integrated database resource for linking genomes or molecular datasets to molecular networks (pathways, etc.) representing higher-level systemic functions of the cell, the organism, and the ecosystem. Major efforts have been undertaken for capturing and representing experimental knowledge as manually drawn KEGG ...
openaire   +3 more sources

Rebuilding KEGG Maps: Algorithms and Benefits

2014 IEEE Pacific Visualization Symposium, 2014
Static drawings of biological pathways are still an important research tool for biologists. Gerhard Michal created his seminal drawings of metabolic networks in the 1960s and thus defined canonical representations of some key pathways. The Kyoto Encyclopedia of Genes and Genomes (KEGG) provides the most popular static drawings of biological networks of
Michael Kaufmann   +2 more
openaire   +2 more sources

Computational Reconstruction of Metabolic Networks from KEGG [PDF]

open access: possible, 2012
Reconstruction of metabolic networks from metabolites, enzymes, and reactions is the foundation of the network-based study on metabolism. In this chapter, we describe a practical method for reconstructing metabolic networks from KEGG. This method makes use of organism-specific pathway data in the KEGG/PATHWAY database to reconstruct metabolic networks ...
openaire   +2 more sources

Home - About - Disclaimer - Privacy