Data to knowledge: how to get meaning from your result

IUCrJ

Schwede, T.¹  Groom, C.R.²  Berman, H.M.³  Minor, W.³  Gabanyi, M.J.³  Reddy, V.⁴  Johnson, J.E.⁴  Westbrook, J.⁵  Murshudov, G.N.⁶  Nicholls, R.A.⁶  Zimmerman, M.D.⁷ 

[1] Biozentrum, University of Basel, Klingelbergstrasse 50-70, 4056 Basel, Switzerland;Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2?1EZ, England;Center for Integrative Proteomics Research, Department of Chemistry and Chemical Biology, Rutgers, State University of New Jersey, Piscataway, NJ?08854, USA;Department of Integrative Structural and Computational Biology, Scripps Research Institute, La Jolla, CA 92037, USA;Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22908, USA;MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, England;SIB-Swiss Institute of Bioinformatics, Basel, Switzerland

关键词: MEANING FROM DATA;    BIG DATA;    DATABASES;    KNOWLEDGE BASES;    DATA DEPOSITION;   

DOI  :  10.1107/S2052252514023306

学科分类：数学（综合）

来源: International Union of Crystallography

【 摘 要 】

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.

【 授权许可】

CC BY