Jeremy Selengut
Primary tabs
Jeremy Selengut is an Associate Research Scientist in the Center for Bioinformatics and Computational Biology (CBCB) within UMIACS.
His research is in bioinformatics includes developing hidden Markov models for proteins, particularly as they relate to bacterial and archaeal subsystems.
His research group is currently funded by a grant from the National Institute of Allergy and Infectious Disease titled, "Improved Analysis of Metagenomes through the application of Read-Sized Profile HMMs to Marker Gene Subsequences" (R21AI123929, 6/1/2016 - 5/31/2018).
Dr. Selengut received his doctorate in Biochemistry from MIT in 1994. He subsequently did Post-Doctoral research at MIT's Department of Chemistry, Massachusetts General Hospital's Department of Urology, Harvard Medical School's Department of Neurology, and The National Heart, Lung and Blood Institute's Laboratory of Biochemistry (1994-2002). He was subsequently a Staff Scientist and then Assistant Professor at The Institute for Genomic Research (TIGR) and the J. Craig Venter Institute (JCVI) in their departments of Bioinformatics (2002-2012). After a brief research hiatus to explore a career in High School science and math teaching, Dr. Selengut came to the University of Maryland in 2013 to initiate his independent research program as a Research Scientist working with Dr. Mihai Pop and others in the Center for Bioinformatics and Computational Biology (CBCB).
Dr. Selengut was recognized by Thomson Reuters in 2014 as one of only 31 "Highly Cited Researchers" worldwide in more than one field (Biology & Biochemistry, and Microbiology), and again in 2015 among the top 225 in the combined category "Biology & Biochemistry."
Go here to view Selengut‘s academic publications.
Publications
2013
2013. TIGRFAMs and Genome Properties in 2013.. Nucleic Acids Res. 41(Database issue):D387-95.
2012
2012. Archaeosortases and exosortases are widely distributed systems linking membrane transit with posttranslational modification.. J Bacteriol. 194(1):36-48.
2012. Whole genome analysis of Leptospira licerasiae provides insight into leptospiral evolution and pathogenicity.. PLoS Negl Trop Dis. 6(10):e1853.
2012. Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage.. ISME J. 6(6):1186-99.
2012. InterPro in 2011: new developments in the family and domain prediction database.. Nucleic Acids Res. 40(Database issue):D306-12.
2011
2011. ProPhylo: partial phylogenetic profiling to guide protein family construction and assignment of biological process.. BMC Bioinformatics. 12:434.
2010
2010. Unexpected abundance of coenzyme F(420)-dependent enzymes in Mycobacterium tuberculosis and other actinobacteria.. J Bacteriol. 192(21):5788-98.
2009
2009. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.. Appl Environ Microbiol. 75(7):2046-56.
2002
2002. Genome sequence and comparative analysis of the model rodent malaria parasite Plasmodium yoelii yoelii. Nature. 419(6906):512-519.