Algorithms for Genetic Selection

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=Z--Dy4DRoeA


Duration: 38:41
179 views
0

Vineet Bafna, UC San Diego
Computation-Intensive Probabilistic and Statistical Methods for Large-Scale Population Genomics
http://simons.berkeley.edu/talks/vineet-bafna-2014-02-19



Other Videos By Simons Institute for the Theory of Computing


2014-02-26A Tree-based Approach to Inferring Past Population Size Changes and Separation Times
2014-02-26Quantifying the Extent of Geographic Signature in the Human Genome
2014-02-26Probabilistic Models for Spatial Geographic Localization
2014-02-26Analysis of Haplotype Sharing and Recent Demographic History with Examples from the Netherlands
2014-02-26Calculation of Joint Allelic Spectra
2014-02-26Robust Demographic Inference from Genomic and SNP Data
2014-02-26Some Tight Bounds in Recovering Species Trees and Population Histories
2014-02-26Natural Selection in a Spatial Continuum
2014-02-26Coalescent Approaches to Selective Sweeps
2014-02-26Inference from Allele Frequency Time Series
2014-02-26Algorithms for Genetic Selection
2014-02-26Creating (and Mapping to) a Universal Reference Genome
2014-02-26Any Way You Want It: Applications of Whole Genome Capture to Ancient DNA, Metagenomics, and...
2014-02-26Population Genetics of the Neanderthal Genome Project
2014-02-26Inferring the Past for Traits that Alter Speciation and Extinction
2014-02-26Ancestral Population Genomics with Coalescent Hidden Markov Models
2014-02-26A General Method for Calculating Likelihoods for Coalescence of Linear Genomes
2014-02-26Genetic Variation in Gene Regulation
2014-02-26A Population Reference Graph for Human Genetic Variation
2014-02-14Rates of Evolution and Accumulation of Cultural Variation
2014-01-28Mathematical Models in Population Genetics III


Tags:
Simons Institute
Evolutionary Biology
UC Berkeley
computer science
theory of computing
Vineet Bafna