Introduction to Proteomics
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Introduction to Proteomics

By Melbourne Bioinformatics

This 4-hour workshop will introduce participants to proteomic data processing, cleaning, and analysis.

Date and time

Location

21 Bedford St

21 Bedford Street North Melbourne, VIC 3051 Australia

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Highlights

  • 4 hours
  • In person

About this event

Science & Tech • Biotech

Introduction to Proteomics 


Lead trainer:

Julia Broadbent (Bio21 Institute, The University of Melbourne) 


Workshop Description:

This 4-hour workshop will introduce participants to proteomic data processing, cleaning, and analysis, with a focus on label-free DIA mass-spectrometry-based quantitative proteomics. The session will begin with a brief overview of the proteomics workflow and introduction to mass-spectrometry based proteomics. This will be followed by an introduction to DIA-NN as an open-source DIA-focused proteomic data processing software. Participants will then be introduced to the limpa package for protein quantification and guided through key steps for cleaning and converting proteomics data to an analysis-ready format, including removing contaminants, quality filtering, and imputation. We will also go over basic statistical analyses for interpreting proteomics data, such as differential expression analysis, enrichment analysis, and protein-protein interaction network analysis. 


Learning objectives:

By the end of this training, participants will be able to: 

  • Describe the proteomics workflow and understand the types of information that can be gleaned from proteomic testing. 
  • List the steps required to process and clean proteomics data, and justify which methods are most appropriate for their dataset. 
  • Apply a variety of statistical analyses to a proteomics dataset and interpret their meaning. 


Target Audience:

Beginners, particularly first-year PhD or Masters students seeking a basic understanding of proteomic testing for research purposes. No prior knowledge of proteomics is expected. 


Eligibility:

This free workshop is available to staff and students at The University of Melbourne and its affiliated institutes.

You must register for this event using an affiliated institutional email address or your registration may be cancelled.


Prerequisites and Requirements:

  • Basic understanding/previous attendance at an Intro to R workshop. 
  • Attendees must bring their own computers with access to the Uniwireless or Eduroam internet/wifi. 
  • Web browser (Firefox or Chrome recommended). 


Access:

If you require any further information, or have any access requirements in order to participate in this workshop, please contact us as soon as possible to discuss your requirements: bioinformatics-training@unimelb.edu.au

We recommend following our Eventbrite page if you wish to be alerted when we release new workshops for registrations.


Important Policy Update:

Starting 1 August 2025, participants who miss two or more workshops without proper notice will be placed on a 6-month waitlist for full workshops. Cancellations must be made at least 24 hours in advance. Please read the full policy here: https://mbite.org/guides/policy/

Organised by

Melbourne Bioinformatics

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Nov 20 · 10:00 AM GMT+11