Lecture: Systems Genetics 2020
Systems genetics 2020
Lecturers: | |||
Matthias Heinig | Julien Gagneur | ||
Tel.: +49 89 3187-2434 | |||
E-mail: matthias.heinig@helmholtz-muenchen.de | E-mail: gagneur@in.tum.de |
Location: | Virtual |
Date & Time: | Tuesday 2.00 pm - 5.00 pm (1.5h lecture, 1.5h applied exercise) |
Target Group: | Master's programs in Bioinformatics and Informatics |
ECTS: | 5 |
Language: | English |
Lecture Material: | Moodle |
Link: | Module description, TUM |
Intended Learning Outcomes: At the end of the module, students understand / are able to practically implement:
- the challenges of complex trait genetics
- statistical models for QTL mapping and GWAS
- methods for adjustment for multiple testing
- linear mixed models to deal with population structure
- experimental techniques to measure gene expression
- algorithms for transcriptome quantification from NGS
- efficient algorithms for expression QTL analysis
- methods of metabolome quantification
- algorithms based on gene sets
- statistical concepts for causal inference such as Mendelian randomization
- regularized linear models and its applications in genetics
- network inference methods such as Graphical Gaussian models
- the application of graphical models for the integration of multiple OMICS data sets
Content:
- Introduction to human genetics
- Quantitative genetics / GWAS
- Multiple hypothesis testing
- Population structure
- Transcriptomics
- Metabolomics
- Enrichment algorithms
- Causal inference
- Regularized linear models
- Network models
- Multi-OMICS data integration