Modeling and Inferring Somatic Evolution in Cell Lineages

This talk will examine computational tools for study of somatic mutability, with application particularly to cancer progression. We will first examine some of the background on somatic evolution and the progress of computational tools for reconstructing it from various forms of genetic variation data, with particular focus on the rise of methods for multiomic data sources. We will then consider how these reconstructions contribute to a growing understanding of variability in somatic mutability and its connection to disease progression. Finally, we will examine how simulation and simulation-based optimization can be used to better inform the problem of study design to better resolve variations in somatic mutability within and between organisms. We will close with consideration of ongoing open problems and potential next steps. Moderator: James A. Glazier, PhD, Indiana University, Bloomington If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://tinyurl.com/GLIMPRINTVideos Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/