Biomonitoring 2.0 – Steering Committee and Research Collaborator
Assistant Professor, Faculty of Computer Science, Dalhousie University
Dr. Beiko is Assistant Professor and Canada Research Chair in Bioinformatics at Dalhousie University in Nova Scotia, where he specializes in comparative and evolutionary genomics. His research is primarily concerned with the evolutionary and ecological processes that underpin microbial biodiversity. To help facilitate this research, his lab has developed a series of sophisticated computational tools to support data integration and various types of analysis.
These tools include GenGIS (http://kiwi.cs.dal.ca/GenGIS), a 3D geospatial information system for genomic data that combines microbial biodiversity information with phylogeny, geography and ecology. GenGIS has been used to study such varied topics as biogeography patterns in the Global Ocean Sampling dataset, HIV emergence, and human migration pathways.
B.Sc. – Dalhousie University (1998)
Ph.D. – University of Ottawa (2003)
Parks DH, Beiko RG. 2013. Measures of phylogenetic differentiation provide robust and complementary insights into microbial communities. The ISME Journal 7(1): 173-183.
Beiko RG. 2011. Telling the whole story in a 10,000-genome world. Biology Direct 6: 34.
Parks DH, Beiko RG. 2010. Identifying biologically relevant differences between metagenomic communities. Bioinformatics 26(6): 715-721.
Parks DH, MacDonald NJ, Beiko RG. 2009. Tracking the evolution and geographic spread of Inﬂuenza A. PLoS Currents: Inﬂuenza Sept 24: RRN1014.
Parks DH, Porter M, Churcher S, Wang S, Blouin C, Whalley J, Brooks S, Beiko RG. 2009. GenGIS: A geospatial information system for genomic data. Genome Research 19: 1896-1904.
Ragan MA, Beiko RG. 2009. Lateral genetic transfer: open issues. Philosophical Transactions of the Royal Society of London B: Biological Sciences 364 (1527): 2241-2251.
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