Current News
22 Dec 2009 - New paper, entitled "Modeling and optimization of a multi-product biosynthesis factory for multiple objectives", has been accepted for publication in Metab. Eng. journal.
08 Dec 2009 - New paper, entitled "Flux-sum analysis: a metabolite-centric approach for understanding the metabolic network", has been accepted for publication in BMC Syst. Biol. journal.
27 Nov 2009 - New paper, entitled "How necessary is a fast testkit for mitigation of pandemic flu?", has been accepted for publication in Journal of the Royal Society Interface.
07 Oct 2009 - New paper, entitled "Metabolomics profiling of extracellular metabolites in recombinant Chinese hamster ovary fed-batch culture", has been accepted for publication in Rapid Commun. Mass Sp. journal.
16 Sep 2009 - New paper, entitled "Centralized modularity of N-linked glycosylation pathways in mammalian cells", has been accepted for publication in PLoS ONE journal.
03 Sep 2009 - New paper, entitled "Strain improvement and process development for biobutanol production", has been accepted for publication in Recent Pat. Biotechnol. journal.
About Us
The Bioinformatics Group at BTI leverages on Bioinformatics to provide full data mining capabilities and a greater depth of analysis on information from genomic, transcriptomic, proteomic and metabolomic studies.
The central task of Bioinformatics group is to comprehensively collect global cellular information, e.g., omics-data, and to combine such information with that pertaining to complex biological processes and systems, such as metabolic, signaling and regulatory networks.
Leverages on Bioinformatics to provide full data mining capabilities and a greater depth of analysis.
This renders it possible to generate predictive computational models of biological processes. Thus, our main research interests are in the application of systems methodologies to understanding and designing biological processes on a global scale.
This work is carried out by resorting to a variety of modeling, control and optimization techniques of systems engineering in conjunction with high-throughput x-omic analysis under an integrated bioinformatic platform and environment.
Cited from Bioprocessing Technology Institute.
