Skip to main content

Creating a DOE design

Updated over a year ago

In Synthace, defining and calculating a DOE design is seamlessly integrated into the process of creating your biological protocol as a workflow. By leveraging the context of your biological protocol, you can easily assign factors that you wish to investigate as part of your DOE to specific parameters and elements in your workflow.

Synthace utilizes this context to automatically determine the most appropriate data types for your factors, ensuring they are compatible with your data analysis at the end of your journey.

The documents in the following chapters will help you learn how to elevate your biological protocol from a base level workflow to a DOE workflow, resulting in a good quality design ready for execution in the lab.

In Synthace, the factors you wish to investigate as part of a DOE are closely tied to specific element parameters within your workflow. This chapter will guide you on identifying the relevant element parameters for your DOE and preparing your workflow to define the factors and calculate a DOE design.

In order to gain insights into your biological system, it's important to consider different types of factors that can help answer your specific questions. This chapter covers the different types and styles of factors supported in Synthace and how you might use them in different contexts.

When it comes to DOE, Synthace simplifies the process by offering a selection of different DOE design types. This allows you to quickly get started with DOE and covers a range of DOE types commonly used. This chapter explores the different designs supported in Synthace, provides recommendations on when and how to use them, and guides you through the process of calculating a design.

While doing a DOE is always better than not, it's essential to ensure that you choose the most appropriate DOE design to address the specific questions about your biological system. This chapter focuses on assessing the quality of your DOE design, ensuring that it is robust enough to provide meaningful answers when you analyze your data at the end of your experiment.

End-to-end biological examples (Coming Soon!)

There are lots of different moving parts that come together to define your factors, calculate your designs and create simulations in Synthace ready to execute in the lab. There are a lot of details that come along with each of these stages. Rather than digging into the weeds of the details you might learn enough to get going with some of these end-to-end examples that cover the full journey in one fell swoop.

Did this answer your question?