Bioinformatics Seminar

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.

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.

Understanding the genetic basis of complex traits from Biobank-scale data: Statistical and Computational challenges
Wednesday, October 9, 2024 - 11:30am to 1:00pm
Does evolution have an inbuilt bias towards highly compressible phenotypes?
Wednesday, September 25, 2024 - 11:30am to 1:00pm
Pan-genomic advances for fighting reference bias
Wednesday, September 18, 2024 - 11:30am to 1:00pm
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.

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.

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.

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

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.

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