Download our guide to properly conducting a power analysis so that you can ensure you're running enough replicates for a statistically powered strain-screening experiment.
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Are you running enough replicates?

Running an inadequate number of replicates can have serious consequences for your strain development programs and overall progress. If your sample size is too small, you may be getting false-positive results, meaning you’re promoting strains that are no better than the control strain. Or, you may be getting false negatives and missing the strain that could be your new production strain. Either way, you’re wasting time and resources, slowing progress, and potentially missing milestones.

For example, if you have a 25% false-positive rate and you’re not accounting for that, you’re effectively adding 25% more time to your process because you’re promoting strains that are not in fact improved. You could have had statistically significant data weeks or months before if you had run enough replicates the first time.

In this guide, learn how to conduct a power analysis to determine the correct number of replicates for your experiment and accelerate strain development.

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