Program Abstracts - Gur Yaari - BIU

Computational biology in health and disease. Patterns of mutations in B cells reveal adaptive immune dynamics in health and disease.

Gur Yaari - BIU

Recent dramatic advances in high-throughput sequencing technologies have revolutionized the way scientific research is done. We are now capable of measuring features of immune responses, by sequencing the repertoires of human lymphocyte (T and B cells) receptors, on a scale never imagined before. As a consequence, the generation of big data sets has become routine and there is an urgent need for computational and analytical approaches to extract valuable biological information from these extremely large data sets. We and others have developed specific computational methods tailored for antibody (B cell receptor) repertoire analyses. Applying this suite of tools to antibody repertoire sequencing data reveals a more complete picture about the dynamics of the adaptive immune response in various clinical conditions. Here, I will demonstrate two examples of the applicability of these computational tools in the context of multiple sclerosis and celiac disease, and present my view about the future and challenges of this emerging field.

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