GlycoSuiteDB, a database of glycan structures, has been constructed with an emphasis on quality, consistency and data integrity. Importance has been placed on making the database a reliable and useful resource for all researchers. This database can help researchers to identify what glycan structures are known to be attached to certain glycoproteins, as well as more generally identifying what types of glycan structures are associated with different states, for example, different species, tissues and diseases. To achieve this, a major effort has gone into data standardisation. Many rules and standards have been adopted, especially for representing glycan structure and biological source information. This paper describes some of the challenges faced during the continuous development of GlycoSuiteDB.
|Number of pages||13|
|Journal||Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|
|Publication status||Published - 2002|