DocumentCode :
1967081
Title :
A web-based data source for metabolomics
Author :
Cakmak, Ali ; Dsouza, Arun ; Hanson, Richard ; Ozsoyoglu, Gultekin ; Ozsoyoglu, Meral
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
454
Lastpage :
459
Abstract :
With the development of improved and cost-effective technologies, it is now possible to detect thousands of metabolites in biofluids or specific organs, and reliably quantify their amounts. Metabolomics focuses on studying the concentrations of metabolites in a cell or a tissue. In this paper, we describe a prototype Web-based metabolomics data analysis system, PathCaseMAW (pathcase metabolomics analysis workbench), which features (1) A Web-accessible metabolic pathway database that supports online browsing and querying, and is novel in that it includes tissue and subcompartment information for pathways, and models transport processes, (2) Tissue-aware visualization support for viewing processes, pathways, or groups of pathways in PathCaseMAW database, and (3) An online metabolomics data analysis tool, called automated consequence prediction tool, which allows users to upload their own observed/measured metabolite level changes, and computationally invalidates or M(aybe)-validates those biological mechanisms that produce the observed metabolite changes.
Keywords :
Internet; biology computing; data analysis; query processing; software tools; PathCaseMAW; Web-accessible metabolic pathway database; Web-based data source; Web-based metabolomics data analysis system; automated consequence prediction tool; biofluids; biological mechanisms; metabolites; metabolomics; online browsing; pathcase metabolomics analysis workbench; tissue-aware visualization support; Biological tissues; Biology computing; Data analysis; Data visualization; Information analysis; Metabolomics; Predictive models; Prototypes; Spatial databases; Visual databases; biochemical pathways; bioinformatics; biological web databases; metabolic networks; metabolism; metabolomics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on
Conference_Location :
Guzelyurt
Print_ISBN :
978-1-4244-5021-3
Electronic_ISBN :
978-1-4244-5023-7
Type :
conf
DOI :
10.1109/ISCIS.2009.5291881
Filename :
5291881
Link To Document :
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