DISC Speaker Series Featuring Dr. Brian Bothner
- Wednesday, April 25, 2018 from 1:00pm to 2:00pm
- MSU Library, CyberDiscovery Visualization Area (located on the first floor of MSU Library) - view map
Join DISC for "The Challenge and Promise of Multi-omics Analysis of Biological Systems" an exciting talk from Dr. Brian Bothner from MSU's Department of Chemistry and Biochemistry. Come for the conversation and stay for the complimentary food and drink!
MSU's Data Infrastructure and Scholarly Communication (DISC) group is pleased to pleased to include Dr. Brian Bothner on the roster of the 2018 DISC Speaker Series. Designed as a venue for for MSU researchers to share their work with non-expert, multidisciplinary audiences, the DISC Speaker Series will feature brief multimedia presentations and include time for questions and conversation. All DISC Speaker Series events will occur at the CyberDiscovery visualization area located on the first floor of MSU Library.
ABSTRACT // Multi-omics refers to the integration of omics data from multiple classes of biomolecules to produce a semi-comprehensive analysis of the state of a biological system. Omics approaches involve the parallel analysis of all, or nearly all, species of a given class of biomolecules in a single experiment. Genomics was the first field to adopt this approach followed closely by transcriptomics and proteomics. Over the past decade an explosion of “omics” fields has occurred, for example metabolomics, lipidomics, kinomics, secretome, etc. The idea behind multi-omics analyses is that by combining near comprehensive analyses from different classes of biomolecules, a deeper understanding of biological mechanism and system state can be realized. While no one doubts this, in practice this is a challenging task due to multiple factors that include differing data formats, different levels of uncertainty in the data, and the shear amount of data. Currently, most attempts to combine omics data from multiple experiments (such as transcriptomics, proteomics, and metabolomics) take a simple additive approach. Doing this can be effective, but fails to take advantage of the inherent functional connectivity between classes of biomolecules. From the standpoint of information science, multi-omics analyses present an opportunity for the significant enhancement of data value if machine learning and data mining methods could be used to improve confidence and elucidate unexpected connectivity.
BIO // Brian Bothner is a highly regarded professor in MSU’s Department of Chemistry and Biochemistry. He holds a PhD from University of Tennessee Health Science Center and completed a postdoc at The Scripps Research Institute under the direction of John E. Johnson. Research in the Bothner Lab has two primary foci: (1) Investigation of cellular response to stress using chemical biology, proteomics, and metabolomics. (2) Assembly, stability, and dynamics of multi-subunit enzymes and nucleoprotein complexes. Since 2016, Bothner has served as director and principal investigator of the Montana IDeA Network of Biomedical Research Excellence (INBRE).