Dario Ghersi, MD, PhD

Dario Ghersi, MD, PhD

Chair, Bioinformatics GPC,
School of Interdisciplinary Informatics
University of Nebraska at Omaha

 

Dario Ghersi received an MD from the University of Genoa, Italy, in 2004 and a PhD in Computational Biology in 2010 from New York University. He worked as a Postdoctoral Fellow at Princeton University from 2010 to 2014, developing network-based and structural approaches to probe protein function and to characterize cancer mutations. He joined the University of Nebraska at Omaha as a faculty member in 2014, and currently serves as Graduate Program Chair for the Biomedical Informatics program. Dr. Ghersi’s research interests focus on developing and using computational methods for: (1) predicting the impact of somatic mutations in human cancers; (2) characterizing the T cell repertoire in antiviral and anticancer immune responses; and (3) analyzing and integrating biological datasets using AI-powered solutions.

 

Computational Methods for Extracting and Visualizing Information from Complex Biological Datasets

In this talk I will discuss analytical tools for working with controlled vocabularies in biology. In particular, I will introduce FunSet, a recently developed command-line tool and web server to perform Gene Ontology enrichment analysis. FunSet allows biologists to: (1) identify terms that are statistically overrepresented in a gene list with respect to a background set; (2) cluster enriched terms using a semantic similarity measure; (3) identify an optimal number of clusters; and (4) display the results using a 2D network view. The talk will also briefly highlight other uses of controlled vocabularies and will touch on some of the limitations of existing approaches.