Nummer

BIOINF4250 (entspricht BIO-4250)
Titel

Computational Single Cell Biology
Lehrform(en)

Praktikum
ECTS 3
Arbeitsaufwand
- Kontaktzeit
- Selbststudium
Arbeitsaufwand:
90 h
Kontaktzeit:
30 h / 2 SWS
Selbststudium:
60 h
Veranstaltungsdauer 1 Semester
Häufigkeit des Angebots Unregelmäßig
Unterrichtssprache Englisch
Prüfungsform

A written report is to be submitted after the course. Performance during the course will also be integrated into the final grade.

Inhalt

The basics of processing and automatically interpreting single-cell datasets are conveyed and applied on concrete examples in this practical course. The course tasks will be implemented in the scripting language Python and R. Specifically this course covers preprocessing, quality control of single-cell transcriptomic data and reconstruction of dynamic processes via RNA velocity analyses, trajectory inference and different dynamic models.

Qualifikationsziele

(1)The students learn how to perform quality control and normalization of single-cell RNA sequencing data.
(2) They learn how to visualize high dimensional single-cell data.
(3) They learn how to perform RNA velocity analyses.
(4) They learn how to establish dynamic models from RNA velocity fields.

Vergabe von Leistungspunkten/Benotung
Lehrform
Status
SWS
LP
Prüfungsform
Prüfungsdauer
Benotung
Berechnung
Modulnote (%)
Teilnahmevoraussetzungen Es gibt keine besonderen Voraussetzungen.
Dozent/in Claassen
Literatur / Sonstiges

Will be supplied during the course.

Zuletzt angeboten Wintersemester 2022
Geplant für Wintersemester 2024
Zugeordnete Studienbereiche BIO-PRAK