Course Identification
Advanced course in proteomics data analysis
Lecturers and Teaching Assistants
Dr. Yishai Levin, Dr. Alon Savidor, Dr. David Morgenstern
Course Schedule and Location
19-23 Dec 2021, 11:00 to 17:00.,
19/12/2021
30
Field of Study, Course Type and Credit Points
Life Sciences: Laboratory; Elective; Regular; 0.50 points
Chemical Sciences: Laboratory; Elective; Regular; 0.50 points
Life Sciences (Molecular and Cellular Neuroscience Track): Laboratory; Elective; Regular; 0.50 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Laboratory; Elective; Regular; 0.50 points
Life Sciences (Computational and Systems Biology Track): Laboratory; Elective; Regular; 0.50 points
Comments
There is a prerequisite of taking the basic proteomics course on protein analysis by mass spectrometry.
Prerequisites
Only people who took the course 'analysis of proteins using mass spectrometry' can register. Exceptions to this will be considered on a case per case basis.
Attendance and participation
Evaluation Type
No final exam or assignment
Estimated Weekly Independent Workload (in hours)
Syllabus
Mass spectrometry based proteomics is an evolving field with significant advances both in instrumentation and software over the past few years.
The technology provides large amount of data and information and thus requires specialised software for processing and interpretation.
The course will focus on the basics of proteomic data processing and analysis, with emphasis on using freely available software hands-on.
Learning Outcomes
Upon successful completion of this course students should be able to:
- Process discovery proteomics data.
- Evaluate quality of proteomics data.
- Process targeted proteomics data.