Olink Workshops: Great design, great data

Decoding study design - your bitesize guide to meaningful data

Workshop dates: 15th & 22nd Nov, 1:00 PM CET

  • Are you new to the dynamic world of proteomics?
  • Are you using protein biomarkers in your studies, but struggling with experiment planning and study design?
  • You’re aware of proteomics technologies that can accelerate research, but you’re unsure where to start?

Our virtual mini-tech sessions are designed to be your guiding star. Our technical experts will take you on a journey from the fundamentals of study design to the intricacies of experiment execution, to empower you to plan effective studies and generate actionable results.

Divided over two 1-hour workshops, our expert Support team will cover six topics.

In workshop 1, you will learn the fundamentals for the best study design.

We will cover:

Day 1 (15th Nov. 1:00 PM CET):

1: PEA technology. Dive into the innovative PEA Technology powering Olink’s panels and discover the advantages of PEA and the built-in quality control

2: Know your question. Unlock the full potential of your study by mastering the art of defining your research question and learning how to increase the power of your study

3: Pre-analytical variation. Understand the factors that can introduce non-biological and pre-analytical variation among samples and how to select the best samples for your research question

Day 2 (22nd Nov. 1:00 PM CET)

In workshop 2, we build on the study design fundamentals from workshop 1 and focus on data processing and analysis, providing you with the skills to generate actionable results.

We will cover:

4: Randomization. Understand why sample randomization is a crucial step for experiment planning and how to choose the best randomization strategies depending on your study design

5: What is NPX? Learn about the importance of relative quantification for protein expression data and how to work with relative quantification using NPX, Olink’s arbitrary unit in Log2 scale

6: Data Normalization. Discover the importance of data normalization and how to decide which normalization methods are optimal for your study design

Experts from our Support teams will be available to address your questions during the session, ensuring a valuable and interactive learning experience.

Ready to master your proteomics study design and generate meaningful data? Click below to register for the workshops now! 

If you're not able to make the live dates, an on-demand version will be sent to you.

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