Module-detection approaches for the integration of multilevel omics data highlight the comprehensive response of Aspergillus fumigatus to caspofungin.
Conrad T, Kniemeyer O, Henkel SG, Krüger T, Mattern DJ, Valiante V, Guthke R, Jacobsen ID, Brakhage AA, Vlaic S, Linde J 2018 Module-detection approaches for the integration of multilevel omics data highlight the comprehensive response of Aspergillus fumigatus to caspofungin. BMC Syst Biol 12, 88-88.
Abstract
Omics data provide deep insights into overall biological processes of organisms. However, integration of data from different molecular levels such as transcriptomics and proteomics, still remains challenging. Analyzing lists of differentially abundant molecules from diverse molecular levels often results in a small overlap mainly due to different regulatory mechanisms, temporal scales, and/or inherent properties of measurement methods. Module-detecting algorithms identifying sets of closely related proteins from protein-protein interaction networks (PPINs) are promising approaches for a better data integration.
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Doctoral researchers
Dr. rer. nat. Theresia Conrad
Multilevel modelling of human-pathogenic fungi and the host immune system
Dr. rer. nat. Derek Mattern
Metabolic Engineering and Bioprospecting of Natural Products in Filamentous Fungi
Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI)
Molecular and Applied Microbiology