Studying Microbial Community Structure and Associations Using DNA Sequence Data - Keck Graduate Institute April 19, 2024, 12:00 pm Skip to main content
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Shibu Yooseph
Kravis Professor of Integrated Sciences, Claremont McKenna College

Cultivation independent approaches combined with DNA sequencing technologies have proven to be valuable tools in characterizing the incredible microbial diversity that exists in nature. These methods have been used to understand various aspects of microbial ecosystems including community composition, biogeographical distributions, microbe-environment interactions, microbe-host associations, and protein family diversity. However, the nature and volume of data generated by these technologies also pose computational challenges that require the development of efficient algorithms to effectively analyze these data. We present some of our recent research on inferring microbial associations from large microbiome sequence datasets, and the microbial ecology insights provided by the application of our methods.



April 19
12:00 pm - 1:00 pm PDT
Event Category:


KGI 121 Building – Room 1111
121 Bucknell Ave.
Claremont, 91711 United States


Open To
General Public, Faculty and Staff, KGI Students