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.
Lecturer
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
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.
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