Data to knowledge: how to get meaning from your result
oleh: Helen M. Berman, Margaret J. Gabanyi, Colin R. Groom, John E. Johnson, Garib N. Murshudov, Robert A. Nicholls, Vijay Reddy, Torsten Schwede, Matthew D. Zimmerman, John Westbrook, Wladek Minor
| Format: | Article |
|---|---|
| Diterbitkan: | International Union of Crystallography 2015-01-01 |
Deskripsi
Structural and functional studies require the development of sophisticated `Big Data' technologies and software to increase the knowledge derived and ensure reproducibility of the data. This paper presents summaries of the Structural Biology Knowledge Base, the VIPERdb Virus Structure Database, evaluation of homology modeling by the Protein Model Portal, the ProSMART tool for conformation-independent structure comparison, the LabDB `super' laboratory information management system and the Cambridge Structural Database. These techniques and technologies represent important tools for the transformation of crystallographic data into knowledge and information, in an effort to address the problem of non-reproducibility of experimental results.