Deep generative models for protein engineering Wednesday, October 16, 2024 - 11:30am to 1:00pm Deep generative models are increasingly powerful tools for the in silico design of novel proteins. |
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Inferring and Characterizing Cellular and Neural Dynamics with Geometric and Topological Deep Learning Wednesday, October 2, 2024 - 11:30am to 1:00pm In the last decade there has been a data revolution in biology with the advent of high-throughput high dimensional data modalities such as single-cell RNA-sequencing, fMRI data, molecular structure data and other modalities. |
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Understanding the genetic basis of complex traits from Biobank-scale data: Statistical and Computational challenges Wednesday, October 9, 2024 - 11:30am to 1:00pm |
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Does evolution have an inbuilt bias towards highly compressible phenotypes? Wednesday, September 25, 2024 - 11:30am to 1:00pm |
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Pan-genomic advances for fighting reference bias Wednesday, September 18, 2024 - 11:30am to 1:00pm |
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Multimodal Protein Foundation Models Wednesday, September 11, 2024 - 11:30am to 1:00pm How can multimodality improve representations of proteins? Foundation models have shown promise in building powerful representations for many domains. |
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Signatures of the great human expansion Wednesday, May 15, 2013 - 11:30am to 1:00pm Since the emergence of modern humans in Africa, human population histories have been complex and nonstationary. Human populations have, for example, grown rapidly, split apart, migrated over large distances, experienced isolation, and mixed during colonization events. |
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Learning From Nature to Engineer Proteins Wednesday, May 8, 2013 - 11:30am to 1:00pm As we get a more complete picture of how proteins accomplish myriad complex tasks in cells, from catalysis to mechanical force generation, we are more inspired to engineer similarly “smart” molecules for specific needs. |
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Sparse learning methods for dissecting the genetic control of biological systems Wednesday, May 1, 2013 - 11:30am to 1:00pm Since the completion of genome sequencing projects for various organisms including human and other model organisms, the fundamental goal of research in computational genomics, systems biology, and genetics has been to gain a complete understanding of how the instruction sets encoded in genomes ge |
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Towards A Platform for Engineering RNA Regulatory Networks Using High Throughput RNA Structure Characterization Thursday, April 25, 2013 - 11:30am to 1:00pm Non-coding RNAs (ncRNAs) play central roles in maintaining, regulating and defending the genomes of all organisms. In fact, their regulatory versatility and ubiquity have made ncRNAs increasingly important tools for engineering synthetic biological systems. |