These tests can reasonably be done with a hand held calculator and a textbook with t test tables. That is, compare lag time to lag time, etc. If not, I can only suggest you break down the problem to the three basic parameters and do simple t tests for differences in the mean values (for small samples). haha it's frustratingĪre you working in an academic setting? R and SAS are widely available in such a settings as well as help for working with the software. Essentially, I have no meaningful way to compare to growth curves except to show them side-by-side and say growth is slowed in one. I don't know what models are appropriate, etc. It's strange because I've taken courses in differential equations and vector calculus but I have no practical experience with this kind of stuff. But there's no basic tutorials on the internet. I thought it would be a good idea to fit the OD data to a model so I can get some parameters like lag time, maximum specific growth rate, and maximum value.

Somehow I need to be able to compare these to each other. But the growth curves of the wild-type and the cpxr strain are quite different. I've observed the transcriptional de-repression that I want to see in the luciferase curves. To compare them, I'm using a Wallac Victor to simultaneously record optical density and luminescence (from my luciferase based transcriptional reporter). I've created a cpxR knockout and am comparing it to the wild-type. I want to fit it to a model instead of using regression because I want some biologically meaningful parameters to compare.īiologically, I'm trying to determine if the CpxR transcription factor is repressing an operon.

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