DocumentCode :
3047478
Title :
Study on Metadata Applications for Proteomics Data Integration
Author :
Fan, Hao ; Li, Lin
Author_Institution :
Int. Sch. of Software, Wuhan Univ., Wuhan
fYear :
2007
fDate :
6-8 July 2007
Firstpage :
153
Lastpage :
156
Abstract :
The integration of complex, fast changing biological data repositories can be potentially supported by Grid computing to enable distributed data analysis. The ISPIDER proteomics Grid provides an architecture supporting the combined use of Grid data access, Grid distributed querying and data integration software tools, which support distributed, heterogeneous biologic data integration and analysis. This paper introduces the ISPIDER Proteomics Grid, and discusses what kind of metadata can be used for expressing the multiplicity of data models and the data transformation and integration processes in the proteomics integration Grid, and how this metadata can be further used for supporting other data integration activities.
Keywords :
biochemistry; biology computing; data analysis; grid computing; information retrieval; meta data; proteins; query processing; Grid computing; Grid data access; Grid distributed querying; ISPIDER proteomics Grid; biological data repositories; data integration software; data transformation; distributed data analysis; heterogeneous biologic data integration; metadata application; proteomics data integration; Computer architecture; Data analysis; Data models; Databases; Grid computing; Peptides; Proteins; Proteomics; Service oriented architecture; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
Type :
conf
DOI :
10.1109/ICBBE.2007.43
Filename :
4272527
Link To Document :
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