Beijing Institute of Mathematical Sciences and Applications Beijing Institute of Mathematical Sciences and Applications

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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Evolutionary genetics and bioinformatics
Evolutionary genetics and bioinformatics
I will introduce the fundamental aspects of evolutionary genetics that encompass mathematics and statistics, including population genetics and some quantitative genetics, as well as several widely utilized bioinformatic tools for evolution research and genome analyses. This course is tailored for students and researchers engaged in biology with a background in mathematics.
Professor Lars Aake Andersson
Lecturer
Qi Wu
Date
11th September, 2024 ~ 8th January, 2025
Location
Weekday Time Venue Online ID Password
Wednesday 13:30 - 16:05 A3-2-303 Tencent 62 839 079 0573 271828
Prerequisite
Basic knowledge of biology at high school level, mathematical knowledge at graduate level in applied mathematics and/or statistics
Syllabus
0. overview of modern life sciences
1. fundamental genetics
1.1 splicing gene - exon and intron
1.2 Mendel's genetic law: segregation law and independent assortment law
1.3 linkage and homologous recombination
2. population genetics
2.1 history of theoretical population genetics
2.2 Hardy-Wenberg principle
2.3 Linkage disequilibra
2.4 random genetic drift and Wright-Fisher model
2.5 effective population size
2.6 gene tree and coalescence
2.7 coalescence with recombination
2.8 mutation
2.8 the neutral theory of molucular evolution
2.9 Darwinian selection and fitness
2.10 population subdivision and migration
2.11 demographic history inference
3. quantitative genetics
3.1 quantitative trait and heritability
3.2 genetic model for quiantitative traits
3.3 components of phenotypic variance
3.4 evolutionary quantitative genetics
3.5 the response of a trait to selection
3.6 Fisher's Geometry model
3.7 Fisher's infinitesimal model
4. genomics and bioinformatics
4.1 Human genome project
4.2 genome sequencing techniques
4.3 sequence format: fasta, gbk, gff, etc...
4.3 BLAST and clustal omega
Reference
刘祖洞、吴燕华、乔守怡、赵寿元。遗传学(第4版),高等教育出版社,2021-3.
Daniel Hartl,Andrew Clark. Principles of Population Genetics, Fourth Edition, Sinauer Associates, Inc. 2007.
Warren J. Ewens. Mathematical Population Genetics. Springer. 2004-1
Michael Lynch/Bruce Walsh. Evolution and Selection of Quantitative Traits. Oxford University Press. 2018.
Manual and documentation of related bioinformatic tools.
Audience
Undergraduate , Advanced Undergraduate , Graduate , Postdoc , Researcher
Video Public
No
Notes Public
No
Language
Chinese
Beijing Institute of Mathematical Sciences and Applications
CONTACT

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北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

Tel. 010-60661855
Email. administration@bimsa.cn

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