MS-Mo-E-52
Mathematics in population genetics and evolution - Part II of II
For Part I, see MS-Mo-D-52

Date: August 10
Time: 16:00--18:30
Room: 212A

(Note: Click title to show the abstract.)

Organizer:
Yang, Ziheng (Univ. College London)
Ma, Zhiming (AMSS, CAS)

Abstract: Population genetics provides mechanistic interpretations of Charles DarwinĄŻs theory of evolution by natural selection. It is a discipline in the life sciences that has a strong interplay with statistics, computer science and applied mathematics, founded by R.A. Fisher, S. Wright, and J. B. S. Haldane.It is essential both for understanding biological evolution and forinterpreting the ever-increasing genomic datasets, and has thus gained momentum in the last few decades because of the rapid accumulation of genetic data, driven by the various genome projects. This symposium will focus on probabilistic modeling and statistical analysis of modern genetic and genomic data, and the statistical and computational challenges that we face. The symposium will provide a forum for statisticians and computer scientists interested in this exciting field of biology to exchange ideas and experiences with evolutionary biologists, and to discuss various problems at the cutting edge of the field.


MS-Mo-E-52-1
16:00--16:30
Thepopulation trajectories of many species: a synthesis
Zhai, Weiwei (Genome Inst. of Singapore)


MS-Mo-E-52-2
16:30--17:00
A maximum likelihood implementation of an isolation-with-migration model for three species
Zhu, Tianqi (Beijing Inst. of genomics, CAS)


MS-Mo-E-52-3
17:00--17:30
A New Measure of Population Differentiation
Ma, Liang (Acad. of Mathematics & Sys. Sci. & Inst. of Zoology, CAS)
Zhang, De-Xing (Inst. of Zoology & Beijing Inst. of Genomics, CAS)


MS-Mo-E-52-4
17:30--18:00
Computational approaches to reconstructing evolutionary histories of single cells
Truszkowski, Jakub (EMBL-European Bioinformatics Inst.)
Goldman, Nick (EMBL-European Bioinformatics Inst.)


MS-Mo-E-52-5
18:00--18:30
Inference of fine-scale population size using the allele frequency spectrum from large sample genomic sequences
Chen, Hua (Beijing Inst. of Genomics, CAS)
Chen, Kun (Dana Farber Cancer Inst., Harvard Medical School)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA