Sequence analysis is more than bioinformatics. Here we will discuss some advanced sequence analysis topics that go beyond the introductory classes Sequence Analysis 1 and Sequence Analysis 2 (formerly “Sequenzanalyse”) which are mostly concentrating on bioinformatics applications. The topics in detail are flexible, probably some automata-based methods will be covered, modern index data structures and compression, and also some classical methods. Some might be more relevant for bioinformatics applications, some less.
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| one-time | Do | U10-146 | 11.04.2024 | ||
| weekly | Do | 11:30-13:00 | U10-146 | 18.04.-19.07.2024
not on: 5/9/24 / 5/30/24 |
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-WP-AP Algorithms & Programming (Basis) Algorithmen & Programmierung (Basis) | Einführende Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-AP-x Algorithms & Programming (Focus) Algorithmen & Programmierung (Schwerpunkt) | Einführende Veranstaltung Seminar o. Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-CLS Computational Life Sciences (Basis) Computational Life Sciences (Basis) | Einführende Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-CLS-x Computational Life Sciences (Focus) Computational Life Sciences (Schwerpunkt) | Einführende Veranstaltung Seminar o. Vorlesung | Student information | |
| - | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Studieren ab 50 |