Interactive web service system for exploration of biological pathways

Due to rapid advances in the biotechnology and systems biology fields, a huge amount of experimental data is now available regarding the interactions between the components of biological systems and the manner in which these interactions determine the function and behavior of the system. Many bioinformatics resources have been developed to store this information and to facilitate its sharing amongst national and international bodies. Amongst such resources, the Kyoto Encyclopedia of Genes and Genomes (KEGG), developed jointly by the Bioinformatics Center of Kyoto University and the Human Genome Center of the University of Tokyo, is one of the most commonly used in academic and commercial circles [1–3].
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Authors: Source Type: research