Biological database development

The completion of the Human Genome Project lays a foundation for systematically studying the human genome from evolutionary history to precision medicine against diseases. With the explosive growth of biological data, there is an increasing number of biological databases that have been developed in aid of human-related research. Developing databases to deal with gigantic volumes of biological data is a fundamentally essential task in bioinformatics. Here we are trying to build various human-related biological databases and provide a better platform to present useful information on single source for the scientific community. To be short, biological databases integrate enormous amounts of omics data, serving as crucially important resources and becoming increasingly indispensable for scientists from wet-lab biologists to in silico bioinformaticians.

Type of data managed

According to the types of data managed, biological databases that we are covering can roughly fall into the following categories: (1) DNA, (2) RNA, (3) protein, (4) expression, (5) pathway, (6) disease, (7) nomenclature, (8) literature, and (9) standard and ontology.