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    Design of Experiments
    Masterclass for Biology

    Design of Experiments (DOE) is a systematic method of investigating the relationship between multiple factors and their impact on the process simultaneously.

    About the Design of Experiments (DOE) Webinar Series

    Design of Experiments (DOE) is a systematic method of investigating the relationship between multiple factors and their impact on the process simultaneously.

    It is the key to understanding the ever-increasing complexity of biological experiments and has the potential to transform biological research.

    However, engaging with DOE can in itself seem highly complex.

    This masterclass strips away the complexity of DOE to provide the framework you need to apply this powerful experimental method to the biological systems you work with. 

    This on-demand masterclass will cover topics such as:

    • Why DOE is fundamental to biological research
    • A showcase real-life examples of its use
    • What tools do you need to begin using DOE in your own lab

    If you have any questions, email us at

    Watch the replay of Webinar 1:

    DOE Masterclass Part 1- Why It Will Transform Your Biological Research

    Presentation date: January 25th 2022

    Watch the recording of the first DOE masterclass to learn about the transformative power of DOE for biology. Topics include:

    • Basic principles of multifactorial experimentation, and why it's vital to biological research

    • Examples of DOE applications for the optimization of biological systems

    • & much more!

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    Watch the replay of Webinar 2:

    DOE Masterclass Part 2 - Real-World Applications Of DOE In Biology

    Presentation date: February 22nd 2022
    Watch the recording of the second DOE masterclass to learn how to use DOE for biology.

    Topics include:

    • Strain Engineering

    • Upstream Processing

    • Downstream Processing

    • Assay Development

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    Watch the replay of Webinar 3:

    DOE Masterclass Part 3 - How To Get Started With DOE: Tools & Tips

    Presentation Date: March 22nd 2022

    Watch the recording of the third DOE masterclass to learn how to set you up with the framework and skills needed to get started with DOE in your lab. Topics include:

    • How being explicit with the goals, constants and variables for your experiment is a critical first step in using DOE for your biological research

    • An overview of the process of sequential experimentation using DOE

    • How to tailor your objectives to an experiment design for maximum insight

    • Demystifying key principles of the DOE methodology including replication, randomization, blocking and confirmation

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    Analysis - What Really Matters

    Presentation Date: June 7th 2022

    Many scientists find modeling and in this webinar, we debunk those fears with a practical guide and tools on:

    • How to prepare your analysis with tried and tested practices
    • The software options you can use to analyze data, in particular, JMP
    • Applying these practices to the most commonly used example of modeling: Linear Regression
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    Optimizing Genetic Code

    In this webinar,  we show you how DOE can be applied to genetic code to optimize a huge number of categoric variables with four potential levels.

    Dr Claes Gustafsson from Atum and Dr Markus Gershater from Synthace walkthrough:

    • How DOE-like approaches can be applied to such a challenging design space
    • With examples covering the systematic optimization of:
      • Promoters
      • Genes 
      • And Proteins
    • How to apply DOE methodology to genetic code.
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    What If Your Response Is A Curve?

    Presentation Date: August 23rd 2022

    In this webinar, we show you how modeling a response in your DOE using a curve - whether is growth, binding or kinetics can enable powerful analyses of your systems.

    Dr Phil Kay from JMP, and Dr Markus Gershater from Synthace walkthrough:

    • How to design and model with functional component analysis in mind if your outcome is a function in your DOE experiment

    • What tools you should consider for this modeling and analysis approach

    • Real-life examples of how this functional component analysis works 

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    Watch the replay of Webinar 7:

    Effective Use Of DOE For Purification Process Development

    Presentation Date: Sept 15th 2022

    How do you maximize the value of every experiment you run?

    Applying Design of Experiments (DOE) allows scientists not only to investigate many parameters simultaneously but also their interactions. Using DOE, you can get faster and deeper insights into your purification process.

    In this webinar, Dr. Lucia Dunajová shows you how to get started on using these tools in combination with DOE to improve your purification process development by going through the following:

    • What are the different considerations for using HTPD tools for purification

    • How to apply DOE using a worked example

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    DOE Masterclass - DOE Adoption
    Watch the replay of Webinar 8

    Secrets of Transformative DOE Adoption

    Adopting Design of Experiments (DOE) is commonly an uphill battle.

    Often, you or a small group of people are trying to champion this approach to a wider team with little traction and many hurdles.

    The typical hurdles in adopting DOE can be:

    • A lack of alignment on the purpose
    • Not having the right people at the right stages
    • No realistic plan for building up to scale

    These hurdles typically point to how your organization operates and its culture, which can be avoided with a clear vision and careful planning to better receive DOE.

    This DOE Masterclass will lay out an easy-to-follow path to set your organization up for successful usage of DOE in your experimentation.

    Dr. Lauren Fovargue and Dr. Ross Kent present:

    • The essential guide to a successful rollout in your organization
    • A walkthrough of a well-executed rollout case study
    Watch Now

    Take your experimentation further

    Contact us today to learn how you can use Synthace to DOE your experiments.

    Request a Demo