The COVID-19 epidemic has brought enormous attention to the genetics of viral infection and the corresponding disease. In this seminar, I will provide a viral genomic primer. Then, I will show the results of ongoing research efforts to i) model genomic sequences, related data, and concepts; ii) integrate this information within big knowledge bases that are queried by search systems; iii) perform data analyses that provide insights on the past and current evolution of the COVID-19 pandemic, with emphasis on the identification of emerging variants and the categorization of their effects.
Anna Bernasconi is a postdoctoral researcher with the Dipartimento di Elettronica, Informazione e Bioingegneria at Politecnico di Milano and a visiting researcher at Universitat Politècnica de València. Her research areas are Bioinformatics, Databases, and Data Science, where she applies conceptual modeling, data integration, and semantic web technologies to biological and genomic data. Starting from a Ph.D. thesis on the modeling and integration of data and metadata of human genomic datasets, she has then extended her expertise to the fastly growing field of viral genomics, particularly relevant since the COVID-19 pandemic outbreak. She is active in the conceptual modeling and database communities, with several paper presentations and the organization of tutorials and workshops.
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Host: Muhao Chen, POC: Pete Zamar