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Wednesday, October 5, 2016

Center for Computational Biology Seminar: Fast, Scalable Prediction of Deleterious Noncoding Variants from Genomic Data - Dr. Adam Siepel, Cold Spring Harbor Laboratory

Seminar | October 5 | 4-5 p.m. | 125 Li Ka Shing Center


Center for Computational Biology


Across many species, a large proportion of genetic variants that influence phenotypes of interest are located outside of protein-coding genes, yet existing methods for identif Here, we introduce a new probabilistic method, called LINSIGHT, that substantially improves the prediction of noncoding nucleotide sites at which mutations are likely to have deleterious fitness consequences, which...   More >

Friday, October 7, 2016

Northern California Computational Biology (NCCB) Student Symposium: Northern California Computational Biology (NCCB) Student Symposium

Conference/Symposium: Featured | October 7 | 9 a.m.-6 p.m. | 310 Sutardja Dai Hall


Center for Computational Biology


The Northern California Computational Biology (NCCB) Student Symposium is a one­-day student symposium organized by the NCCB Planning Committee made up of students from UC Berkeley, UC Santa Cruz, UCSF, and Stanford. The symposium offers an excellent opportunity to connect with the local computational biology student community and to learn about current research projects involving the many facets...   More >

Wednesday, November 2, 2016

Center for Computational Biology Seminar: Barbara Engelhardt, Princeton University

Seminar | November 2 | 4-5 p.m. | 125 Li Ka Shing Center


Center for Computational Biology


Title: Structured factor models to find interpretable signal in genomic data

Abstract: Latent factor models have been the recent focus of much attention in `big data' applications because of their ability to quickly allow the user to explore the underlying data in a controlled and interpretable way. In genomics, latent factor models are commonly used to identify population substructure,...   More >

Wednesday, December 7, 2016

Center for Computational Biology Seminar: Molly Przeworski, Columbia University

Seminar: Bioinformatics Seminars | December 7 | 4-5 p.m. | 125 Li Ka Shing Center


Center for Computational Biology


Meiotic recombination is a fundamental genetic process that generates new combinations of alleles on which natural selection can act and, in most sexually-reproducing organisms, ensures the proper alignment and segregation of chromosomes. Recombination events are initiated by double strand breaks deliberately inflicted on the genome during meiosis. In this talk, I’ll present accumulating evidence...   More >

Wednesday, January 18, 2017

Seminar: Dr. Edward Chuong, University of Utah

Seminar | January 18 | 3:30-4:30 p.m. | 125 Li Ka Shing Center


Center for Computational Biology


Title: Endogenous retroviruses as catalysts of gene regulatory evolution

Abstract: Changes in gene regulatory networks underlie many biological adaptations, but the mechanisms promoting their emergence and evolution are not well understood. Endogenous retroviruses (ERVs) are prolific genomic parasites that constitute 6-14% of vertebrate genomes, and harbor sequences capable of modulating...   More >

Wednesday, January 25, 2017

Wednesday, February 1, 2017

Center for Computational Biology Seminar: Dr. David Baker, Department of Biochemistry, University of Washington

Seminar: Bioinformatics Seminars | February 1 | 4-5 p.m. | 125 Li Ka Shing Center


Center for Computational Biology


Post-Evolutionary Biology: Design of novel protein structures, functions and assemblies

Abstract: Proteins mediate the critical processes of life and beautifully solve the challenges faced during the evolution of modern organisms. Our goal is to design a new generation of proteins that address current day problems not faced during evolution. In contrast to traditional protein engineering...   More >

Wednesday, February 8, 2017

Seminar: Molecular clocks of human evolution - Dr. Priya Moorjani, Columbia Univeristy

Seminar | February 8 | 3:30-4:30 p.m. | 125 Li Ka Shing Center


Center for Computational Biology


Molecular clocks of human evolution

Abstract: One of the most fundamental discoveries in evolutionary biology is the “molecular clock”: the observation that changes to the genome due to mutation and recombination occur steadily with time. Thus, the accumulation of neutral substitutions (i.e., changes with no fitness effects) over generations provides a record of the time elapsed and hence an...   More >

Wednesday, March 1, 2017

Wednesday, March 8, 2017

The dynamics of clonal evolution: Dr. Jamie Blundell, Stanford University

Seminar | March 8 | 3:30-4:30 p.m. | 125 Li Ka Shing Center


Center for Computational Biology


The dynamics of clonal evolution remain poorly understood despite having implications for the treatment of cancer and microbial infections. My work combines high-resolution lineage tracking using DNA barcodes, directed whole-genome-sequencing of adaptive clones, and mathematical models of mutational dynamics to understand clonal evolution at a quantitative level. Using this approach we are able...   More >

Thursday, March 9, 2017

Dr. Jennifer Listgarten, Senior Researcher at Microsoft Research New England: From Genetics to CRISPR Gene Editing with Machine Learning

Seminar | March 9 | 4-5 p.m. | 306 Soda Hall


Center for Computational Biology


ABSTRACT:
Molecular biology, healthcare and medicine have been slowly morphing into large-scale, data driven sciences dependent on machine learning and applied statistics. In this talk I will start by explaining some of the modelling challenges in finding the genetic underpinnings of disease, which is important for screening, treatment, drug development, and basic biological insight. Genome and...   More >

Wednesday, April 26, 2017