RSS FeedUpcoming EventsCCB Seminar: Leveraging genomics deep learning models for interpreting personal genomes, April 3https://events.berkeley.edu/CCB/event/220082-ccb-seminar-leveraging-genomics-deep-learning-models-

Abstract: Our genomes contain millions of cis-regulatory elements, whose differential activity determines cellular differentiation. The majority of disease causing genetic variants also reside in these regulatory elements, impacting their regulatory function in a subtle and context-dependent manner. In this talk, I’ll present recent work from us and others on applying sequence-based deep learning models for predicting and explaining regulatory function(s) from genomic DNA. I’ll describe our efforts in adapting these models for studying how natural genetic variation impacts cellular function, highlighting current challenges. Motivated by these results, I will describe our ongoing work in improving models’ causal interpretation of non-coding genetic variation, which is required to accurately predict differential gene expression across individuals. In summary, our work shows that sequence-based deep learning approaches can uncover regulatory mechanisms while providing a powerful in-silico framework to mechanistically probe the relationship between regulatory sequence and its function.

Bio: Sara Mostafavi is an Associate Professor at the Paul Allen School of Computer Science and Engineering at University of Washington (UW). She is also the co-founder of the Machine Learning for Computational Biology (MLCB) Conference. Before joining UW, she was an Assistant Professor at the Department of Statistics and the Department of Medical Genetics at University of British Columbia (UBC), and a faculty member at the Vector Institute. Sara is the recipient of a Canada Research Chair (CRC II) in Computational Biology, and a Canada CIFAR Chair in Artificial Intelligence. Sara didd her postdoc at Stanford CS working with Daphne Koller, and got her PhD in Computer Science from the University of Toronto in 2011 working with Quaid Morris. Sara’s research focuses developing and applying machine learning and statistical methods for understanding genome biology and function.

https://events.berkeley.edu/CCB/event/220082-ccb-seminar-leveraging-genomics-deep-learning-models-
CCB Seminar: Dr. Andrew Rominger, May 1https://events.berkeley.edu/CCB/event/220964-ccb-seminar-dr-andrew-rominger

Dr. Andrew Rominger, Assistant Professor, Quantitative Biology, UH at Manoa

https://events.berkeley.edu/CCB/event/220964-ccb-seminar-dr-andrew-rominger
Joint IB/CCB/MCB Seminar: Dmitri Petrov, May 2https://events.berkeley.edu/CCB/event/223484-joint-ibccbmcb-seminar-dmitri-petrov

Dimitry Petrov

https://events.berkeley.edu/CCB/event/223484-joint-ibccbmcb-seminar-dmitri-petrov