OMICS 2013 Aug 11;17(8):414-22. Epub 2013 Jun 11.
Biomedical Biotechnology Research Institute, North Carolina Central University, Durham, North Carolina, USA.
Download full-text PDF
Microbiology 2010 Feb 12;156(Pt 2):287-301. Epub 2009 Nov 12.
Center for Ecogenomics, Biodesign Institute, Arizona State University, Tempe, AZ 85287-6501, USA.
Recent advances in various 'omics' technologies enable quantitative monitoring of the abundance of various biological molecules in a high-throughput manner, and thus allow determination of their variation between different biological states on a genomic scale. Several popular 'omics' platforms that have been used in microbial systems biology include transcriptomics, which measures mRNA transcript levels; proteomics, which quantifies protein abundance; metabolomics, which determines abundance of small cellular metabolites; interactomics, which resolves the whole set of molecular interactions in cells; and fluxomics, which establishes dynamic changes of molecules within a cell over time. However, no single 'omics' analysis can fully unravel the complexities of fundamental microbial biology. Read More
BMC Bioinformatics 2012 11;13 Suppl 15:S7. Epub 2012 Sep 11.
Department of Academic and Institutional Resources and Technology, University of North Texas Health Science Center, Fort Worth, USA.
Background: Next-Generation Sequencing (NGS) technologies and Genome-Wide Association Studies (GWAS) generate millions of reads and hundreds of datasets, and there is an urgent need for a better way to accurately interpret and distill such large amounts of data. Extensive pathway and network analysis allow for the discovery of highly significant pathways from a set of disease vs. healthy samples in the NGS and GWAS. Read More
J Chromatogr B Analyt Technol Biomed Life Sci 2014 Sep 25;966:77-82. Epub 2014 Apr 25.
Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany; Division of Clinical Chemistry and Pathobiochemistry, Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Germany. Electronic address:
In systems biology, the combination of multiple types of omics data, such as metabolomics, proteomics, transcriptomics, and genomics, yields more information on a biological process than the analysis of a single type of data. Thus, data from different omics platforms is usually combined in one experimental setup to obtain insight into a biological process or a disease state. Particularly high accuracy metabolomics data from modern mass spectrometry instruments is currently more and more integrated into biological studies. Read More
BMC Syst Biol 2012 17;6 Suppl 3:S13. Epub 2012 Dec 17.
Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Background: Pathway analysis of large-scale omics data assists us with the examination of the cumulative effects of multiple functionally related genes, which are difficult to detect using the traditional single gene/marker analysis. So far, most of the genomic studies have been conducted in a single domain, e.g. Read More