| Title | Time | Room | Instructor |
|---|---|---|---|
| Bioinformatics I (Genomics and Gene Expression Analysis) | 27.02.2023 14:45 - 16:00 (Mon) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 01.03.2023 14:45 - 16:00 (Wed) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 06.03.2023 14:45 - 16:00 (Mon) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 08.03.2023 14:45 - 16:00 (Wed) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 13.03.2023 14:45 - 16:00 (Mon) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 20.03.2023 14:45 - 16:00 (Mon) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 22.03.2023 14:45 - 16:00 (Wed) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 27.03.2023 14:45 - 16:00 (Mon) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 29.03.2023 14:45 - 16:00 (Wed) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 12.04.2023 14:45 - 16:00 (Wed) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 17.04.2023 14:45 - 16:00 (Mon) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
| Bioinformatics I (Genomics and Gene Expression Analysis) | 19.04.2023 14:45 - 16:00 (Wed) | Big Seminar Room B (big) 63 seats | Vicoso, Beatriz |
Description:
We will discuss common types of sequencing data and perform hands on analyses in:
1. Genomics:
-DNA sequencing platforms
-Tools for genome assemblies
2. Transcriptomics:
-RNA-seq and Ribo-profiling analysis, detection of differentially expressed genes
-Evolution of gene expression
3. Epigenomics:
-Examples of analyses different datasets, e.g. Chip-Seq (histone modifications).
Capacity:
7/12
Course Code:
C_BIO-3001_S23
Course instructor(s):
Beatriz Vicoso
Course type:
Taught course
Course level:
Advanced/foundational
Primary Track:
Biology
Secondary Track(s):
Data Science & Scientific Computing
Course format:
On campus
Duration:
Half semester
ECTS:
3
Semester:
Spring 1
Minimum number of participants:
4
Target audience:
Anybody interested in the analysis of sequencing data.
Teaching format:
Lectures and practicals
Assessment form(s):
Biweekly reports on the practicals
Grading scheme:
Numeric grades (1-5)
Course Category:
Credit Course
Academic Year:
AY 2022/23