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Promotion Of Lipid Raft Mediated Learning And Memory Pathways In Mice Fed With Acaudina Leucoprocta Hydrolyzate | 8129
ISSN: 2153-0769

Metabolomics:Open Access
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Promotion of lipid raft mediated learning and memory pathways in mice fed with Acaudina leucoprocta hydrolyzate

International Conference and Exhibition on Metabolomics & Systems Biology

Yanyan Li, Jun Zhou, Chundan Zhang, Ye Li and Xiurong Su

ScientificTracks Abstracts: J Comput Sci Syst Biol

DOI: 10.4172/0974-7230.S1.02

Abstract
Genome-scale metabolic network models have become an important field of systems biology for understanding cellular behaviors. Three major components: network reconstruction, simulation and visualization are usually indispensible for a metabolic network model of high quality. Therefore, various bioinformatics tools were provided to facilitate the complicated needs. Although some of the required functions have been served separately by existing tools, a free software resource that simultaneously serves the needs of the three major components is not yet available. Here we present a software platform to provide functionalities of easy metabolic network drafting and editing, amenable network visualization for experimental data integration, and flux balance analysis tools for simulation studies. The tool comes with downloadable, ready-to-use public- domain metabolic models, reference metabolite/reaction databases, and metabolic network maps, all of which can be imported to the tool as the starting materials for network construction or simulation analyses. Furthermore, all of the metabolic models, analysis results and on-going projects generated by this tool can be easily exchanged in the research community. All together, the open-source tool is a powerful integrative resource that may facilitate the development of systems biology studies.
Biography
Yu-Chieh Liao has completed her Ph.D at National Cheng Kung University and postdoctoral studies at National Health Research Institutes in Taiwan. She is now an assistant investigator at National Health Research Institutes and working on the fields of bioinformatics and systems biology .
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