Universität Wien

580007 VU VU Introduction to mass spectrometry data analysis (2022S)

1.00 ECTS (1.00 SWS), SPL 58 - Doktoratsstudium Pharmazie, Ernährungswissenschaften und Sportwissensch
Continuous assessment of course work
MIXED
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: German

Lecturers

Classes

Lecture Dates: "Course is held online via Zoom"

23.05.2022: 09.00-11.30h

24.05.2022: 09.00-11.30h

25.05.2022: 12.00-14.30h

30.05.2022: 09.00-11.30h

31.05.2022: 09.00-11.30h

01.06.2022: 09.00-11.30h

02.06.2022:09.00-11.30h

Information

Aims, contents and method of the course

This course endows an introduction to the crucial notions and approaches in the analysis of MS datasets. Prominence will be shed on development of efficient, straight forward and universal algorithms and techniques used in common MS datasets interpretation tools. The aim of the course is to coach the students how to use algorithms and bioinformatical tools to address various problems confronted when perusing studies/carrier in the field of MS oriented analytical chemistry. The course includes case studies in the fields of LC-MS analysis and small molecules analyses (OMICS).

Assessment and permitted materials

• Understand fundamental concepts in bioinformatics
• Develop an outline of the key procedures and tools that are used in MS data analysis
• Be able to develop/implement algorithms to solve problems
• Be capable of transforming raw data into meaningful “statically relevant” data through self-developed algorithms and automation (Case studies)

Minimum requirements and assessment criteria

1. Final practical assignment (to develop an algorithm and use it to analyze a dataset)
2. Homework assignments

Examination topics

Reading list

Association in the course directory

Last modified: Mo 25.04.2022 11:50