Course Identification

Title:

Advanced course in proteomics data analysis

Code:

20233181

Lecturers and Teaching Assistants

Lecturers:

Dr. Yishai Levin, Dr. Alon Savidor, Dr. David Morgenstern

TA's:

N/A

Course Schedule and Location

Year:

2023

Semester:

First Semester

When / Where:

08.01.23 to 12.01.23, 11:00am to 17:00.,

First Lecture:

08/01/2023

End date:

12/01/2023

No. of hours (laboratories):

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

Comments

There is a prerequisite of taking the basic proteomics course on protein analysis by mass spectrometry.
Location: G-INCPM.

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.

Restrictions

Participants:

12

Language of Instruction

English

Registration by

Registration By:11/12/2022

Attendance and participation

Obligatory

Grade Type

Pass / Fail

Grade Breakdown (in %)

Attendance

100%

Evaluation Type

No final exam or assignment

Scheduled date 1

Date / due date

N/A

Location

N/A

Time

-

Remarks

N/A

Estimated Weekly Independent Workload (in hours)

5

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.

Reading List

N/A

Website

N/A