作者: Ilya R. Akberdin , Merlin Thompson , Marina G. Kalyuzhnaya
DOI: 10.1007/978-3-319-74866-5_7
关键词: Computational biology 、 Workflow 、 Function (engineering) 、 Systems biology 、 Microbial Physiology 、 Genomics 、 In silico 、 Metabolomics 、 Proteomics 、 Computer science
摘要: Recent developments in experimental technologies have transformed traditional microbial physiology into a data-rich or -omics discipline. As result, it has caused renaissance of the mathematical analysis biological systems and stimulated development biology workflows which aim to provide holistic vision all cellular functions through genomics, transcriptomics, proteomics, metabolomics, fluxomic data. In silico modeling metabolic become powerful tool, providing insight complex processes metabolism their underlying regulatory mechanisms, as well potentially improving biotechnological design strains with desired properties. this chapter, we an overview methane utilization, example one unique function that been dissected using - omics technologies. We discuss most recent advances large-scale investigation computational representation related networks highlight some challenges for further field.