<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/390551af1b0b458a85fa193ce88087aa&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/390551af1b0b458a85fa193ce88087aa-5a3ad72565230c5e.gif</thumbnail_url><duration>300.977</duration><title>Recent improvements to data reshaping and transformation in Synthace</title><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&apos;ll cover new data transformations for four-parameter and five-parameter logistics.</description></oembed>