Data integration is becoming a key concern in almost every area of bioinformatics, as increasing amounts of data are produced in a variety of formats, and most data only becomes scientifically useful and valuable when placed in a context.
S1. Data Management and Integration
In the post-genomic era, the process of extracting knowledge from data to discover target biomolecules for characterization can be one of the most challenging and critical steps. The latest progress of scientific technology
Database Center for Life Science (DBCLS, since 2007) and National Bioscience Database Center (NBDC, since 2011) have been struggling for data sharing and integration of life science DBs in Japan for a decade.