Lecture: Statistical genetics, breeding informatics and experimental design - Details

Lecture: Statistical genetics, breeding informatics and experimental design - Details

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General information

Course name Lecture: Statistical genetics, breeding informatics and experimental design
Subtitle
Course number 740823
Semester WiSe 2023/24
Current number of participants 27
expected number of participants 20
Home institute Züchtungsinformatik
Courses type Lecture in category Teaching
First date Tuesday, 24.10.2023 16:15 - 17:45, Room: (L04 (Agrarwissenschaften-Institutsgebäude))
Type/Form

Rooms and times

(L04 (Agrarwissenschaften-Institutsgebäude))
Tuesday: 16:15 - 17:45, weekly (12x)
(L09 (Tierzucht-Institutsgebäude))
Thursday: 14:15 - 15:45, weekly (13x)
(L05 (Tierzucht-Institutsgebäude))
Tuesday, 30.01.2024 16:15 - 17:45

Fields of study

Module assignments

Comment/Description

Contents:
• Gene Expression Analysis
• Genome-wide association analysis
• QTL mapping
• Statistical hypothesis testing
• Regression methods
• Analysis of variance
• Multiple testing
• Experimental designs (block designs, randomized designs, Latin squares)
• Sample size estimation
• Introduction to programming
• Fundamentals of databases

Novel biotechnological methods allow the production of very large data sets (gene
sequences, genotypes, transcriptomes) at decreasing costs. Students learn about
statistical and computational methods to use these records for breeding issues.
Furthermore, the main experimental designs to plan, implement, and evaluate targeted
and efficient experiments for data generation will be treated.

Examination requirements:
Profound knowledge of statistics and informatics methods to use them for breeding
issues.