Dr. Fabian Theis, Head of Computational Health Center, Helmholtz Institute Munich Modeling cellular state as well as dynamics e.g. during differentiation or in response to perturbations is a central goal of computational biology. Single-cell technologies now give us easy and large-scale access to state observations on the transcriptomic and more recently also epigenomic level. This…
Dr. Simon Myers, Professor, Department of Statistics, Oxford University Abstract: Genetic variation is shaped through evolutionary processes acting on our genomes over hundreds of millennia, including past migrations, isolation by distance, population bottlenecks, and natural selection. Such events are reflected in the genealogical trees that relate individuals back in time. We have developed an approach,…
Adam Gayoso, Computational Biology, UCB
Alyssa Morrow, Computer Science, UCB
Dr. Smita Krishnaswamy, Assistant Professor, School of Medicine, Yale Abstract: High throughput, high dimensional data is now ubiquitous in biomedical science, bolstered by advances in measurement technologies such as single cell RNA-sequencing, single cell ATAC-sequencing. Such data can give us an unprecedented view into cellular systems and patient response. However, current approaches are unable to…