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
Second Semester
11:00 - 17:00, INCPM Building, Rm 101
05/05/2024
Field of Study, Course Type and Credit Points
Life Sciences: Laboratory; Elective; 0.50 points
Life Sciences (ExCLS Track): Elective; 0.50 points
Comments
There is a prerequisite of taking the basic proteomics course on protein analysis by mass spectrometry.
Location: G-INCPM.
In-person course
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.
Registration by
03/04/2024
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 independently.
- Evaluate quality of proteomics data.
- Perform pathway analysis.