Integrating high throughput and computational data elucidates bacterial networks pdf

Posted on Wednesday, June 9, 2021 9:32:12 AM Posted by Lewis H. - 09.06.2021 and pdf, edition pdf 4 Comments

integrating high throughput and computational data elucidates bacterial networks pdf

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Open Data PUB. Google Scholar. Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling. Vijayendran, C.

PUB - Publikationen an der Universität Bielefeld

Genome-scale metabolic modeling. With the advent of high-throughput technology, there has been a growing need to develop computational frameworks that contribute to analyze these data for unveiling the biological principles underlying metabolic networks. Constraint-based modeling is a paradigm in systems biology that contributes to this latter aim by considering physical, enzymatic, and topological constraints underlying the phenotype in a metabolic network. In global terms, this method can be stratified into four steps: metabolic reconstruction of an organism, mathematical representation of the metabolic network, in silico analysis, and experimental assessment of computational predictions. In the end, this approach supplies with a powerful scheme for: 1 integrating HT data, 2 exploring the metabolic phenotype in a metabolic reconstruction, and 3 designing experiments to assess biological hypothesis. Skip to main content Skip to table of contents. This service is more advanced with JavaScript available.

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Motamedian and Maryam Mohammadi and S. Shojaosadati and M.

Integrating high-throughput and computational data elucidates bacterial networks

E-mail: saezrodriguez ebi. Mathematical modelling is increasingly becoming an indispensable tool for the study of cellular processes, allowing their analysis in a systematic and comprehensive manner. In the vast majority of the cases, models focus on specific subsystems, and in particular describe either metabolism, gene expression or signal transduction. Integrated models that are able to span and interconnect these layers are, by contrast, rare as their construction and analysis face multiple challenges. Such methods, however, would represent extremely useful tools to understand cell behaviour, with application in distinct fields of biological and medical research.

Constraint-based Modeling

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To gain insights into complex biological processes, genome-scale data e. However, many networks do not have a one-to-one relationship between genes and network edges, due to the existence of isozymes and protein complexes.

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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Covert and Eric M. Knight and J. Reed and Markus J. Herrgard and Bernhard O.

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