{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/390551af1b0b458a85fa193ce88087aa\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/390551af1b0b458a85fa193ce88087aa-5a3ad72565230c5e.gif","duration":300.977,"title":"Recent improvements to data reshaping and transformation in Synthace","description":"In this video, I walk you through some recent updates to our data preparation functionality, specifically in the context of a simple enzyme assay DOE. We are testing various factors, including two enzyme choices, NMR, ACL concentration at three levels, and a quasi-replicate factor for substrate at nine levels, which will allow us to construct a comprehensive dose-response curve. I demonstrate how to reshape our data table for better flexibility in analysis, pivoting against the substrate factor. I encourage you to explore these new features in the data preparation app and apply them to your workflows. Stay tuned for upcoming videos where we'll cover new data transformations for four-parameter and five-parameter logistics."}