790442 Analysis of high-throughput sequencing data for AgriGenomics
- Type
- Lecture and exercise
- Semester hours
- 2
- Lecturer (assistant)
- Himmelbauer, Heinz , Dohm, Juliane
- Organisation
- Offered in
- Sommersemester 2024
- Languages of instruction
- Englisch
- Content
-
This course will give an overview on next-generation sequencing data, focussed on Illumina and Pacific Biosciences technologies. Students will get familiar with data file formats, quality filtering, mapping of reads, de novo genome assembly, variant discovery, data visualization, and others. Analysis strategies will be explored using real data sets.
- Previous knowledge expected
-
Linux knowledge for data analysis is required which can be obtained by attending the course “Data analysis skills for AgriGenomics students” or “Essentials for bioinformatics data analysis”.
- Objective (expected results of study and acquired competences)
-
Students will get familiar with different applications of high-throughput sequencing technologies and data analysis strategies.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.