270199 VO Bioinformatik II (2023S)
Computational Mass Spectrometry
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
Details
Sprache: Deutsch
Prüfungstermine
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
The lecture (1 teaching hour or SWS) starts at Thursday, March 2nd at 8:00am sharp, continues every Thursday until the end of June, and is located in lecture hall 4 (Hörsaal 4), Halbstock, Währinger Straße 42. No lecture due to public holidays will be on: April 6th, April 13th, May 18th, June 8th. Thus, the lecture contains 14 sessions in total.
- Donnerstag 02.03. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 09.03. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 16.03. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 23.03. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 30.03. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 20.04. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 27.04. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 04.05. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 11.05. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 25.05. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 01.06. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 15.06. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 22.06. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
- Donnerstag 29.06. 08:00 - 10:00 Hörsaal 4 Chemie HP Währinger Straße 42
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
In this course, the students will be introduced into basic bioinformatics concepts that arise from the challenges within the field of mass spectrometry with a focus on metabolomics, lipidomics, proteomics (MLP). After an introduction into mass spectrometry itself, the course will present a set of mechanism, methods, and computational necessities along with statistical approaches for data analysis and interpretation. This contains topics such as: peak picking, alignments, APIs, isotope correction, workflow systems, T-Tests with correction for multiple testing and statistical power, or database matching for identification.
Art der Leistungskontrolle und erlaubte Hilfsmittel
At the end of the lecture, the students need to pass a written exam. To successfully pass this course, the students need to obtain at least 50% of the points in the exam. Deception, or transcription of co-students is not tolerated and will be scored with 0 points.
Mindestanforderungen und Beurteilungsmaßstab
At least 50% of the maximum possible points must be achieved to obtain a positive grade. In total, 50 points can be achieved for this course from a written exam at the end of the course.
The grades are awarded according to the following scheme:
• 1 (very good): 50 – 45 points
• 2 (good): 44 – 39 points
• 3 (satisfactory): 38 – 32 points
• 4 (sufficient): 31 – 25 points
• 5 (insufficient): 24 – 0 points
The grades are awarded according to the following scheme:
• 1 (very good): 50 – 45 points
• 2 (good): 44 – 39 points
• 3 (satisfactory): 38 – 32 points
• 4 (sufficient): 31 – 25 points
• 5 (insufficient): 24 – 0 points
Prüfungsstoff
Literatur
Zuordnung im Vorlesungsverzeichnis
CH-SAS-06
Letzte Änderung: Di 11.07.2023 09:47