Introduction to Proteomics Data Analysis and Beyond

BIO 641

Course Description

This three day bioinformatics training course provides an introduction to the analysis of proteomics data.
The course consists of lectures tailored to introduce the bioinformatics and statistics involved in the following proteomics
experiments:

  • protein identification
  • experimental design
  • label free quantification
  • pull down experiments

Learning Objectives

At the end of the course, the participants will:

  • understand the similarities and differences between protein
    identification, quantification and pull down experiments
  • know what to expect - understand the opportunities and limits of a
    proteomics experiment
  • asses and interpret the results from a proteomics experiment
  • apply over-representation analysis (ORA) or gene set enrichment
    analysis (GSEA) to generate biological insights
  • formulate a well designed proteomics experiment for a meaningful research question

Course Program

  • Quality control metrics and visualisations
  • Protein identification, models of peptide spectrum matches,
    inference of proteins, controlling the error probability.
  • Bioinformatics for pull down experiments
  • Principles of Linear Modelling - application to Label Free data analysis 
  • Basics of experimental design

Participants

The course is limited to 10 participants only.

Target audience and prerequisites

Applicants should be FGCZ users that have used the FGCZ services in proteomics or have proteomics data generation ongoing at the FGCZ.
Participants should bring their own laptop (only a few laptop computers are available for the ones who cannot bring one).

Please note, that the above prices can only be applied if the tuition fee is paid through an internal, i.e. University of Zurich or ETHZ, account (valid Kostenstelle/PSP-Element).

An invoice will be issued upon registration. Registered participants will receive an email containing an “Application Form”, which must be signed by their respective supervisor.

The signed form should then be returned to the FGCZ via email as a PDF. Only upon receipt of the signed “Application Form”, will the participant’s registration be considered complete, and their place in the course officially confirmed.

Cancellation Policy

Please note that, due to the high demand for this course, any change  related to your participation must be communicated as soon as possible, but not later than twenty (20) working days prior to the course start date. The notice must be sent via email to . If the cancellation of the course occurs after this time period, the tuition fee will not be refunded. 

 

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