TY - GEN
T1 - A web-based data source for metabolomics
AU - Cakmak, Ali
AU - Dsouza, Arun
AU - Hanson, Richard
AU - Ozsoyoglu, Gultekin
AU - Ozsoyoglu, Meral
PY - 2009
Y1 - 2009
N2 - 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, PathCase MAW (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 PathCase MAW 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.
AB - 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, PathCase MAW (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 PathCase MAW 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.
KW - Biochemical pathways
KW - Bioinformatics
KW - Biological web databases
KW - Metabolic networks
KW - Metabolism
KW - Metabolomics
UR - https://www.scopus.com/pages/publications/74049109000
U2 - 10.1109/ISCIS.2009.5291881
DO - 10.1109/ISCIS.2009.5291881
M3 - Conference contribution
AN - SCOPUS:74049109000
SN - 9781424450237
T3 - 2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
SP - 454
EP - 459
BT - 2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
T2 - 2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
Y2 - 14 September 2009 through 16 September 2009
ER -