Journal
BMC BIOINFORMATICS
Volume 17, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s12859-016-1016-7
Keywords
Growth curve; Logistic; Experimental evolution
Categories
Funding
- Forschungskredit program of the University of Zurich [K-74301-03-0]
- Swiss National Science Foundation [31003A_146137]
- University Priority Research Program in Evolutionary Biology at the University of Zurich
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Background: Plate readers can measure the growth curves of many microbial strains in a high-throughput fashion. The hundreds of absorbance readings collected simultaneously for hundreds of samples create technical hurdles for data analysis. Results: Growthcurver summarizes the growth characteristics of microbial growth curve experiments conducted in a plate reader. The data are fitted to a standard form of the logistic equation, and the parameters have clear interpretations on population-level characteristics, like doubling time, carrying capacity, and growth rate. Conclusions: Growthcurver is an easy-to-use R package available for installation from the Comprehensive R Archive Network (CRAN). The source code is available under the GNU General Public License and can be obtained from Github (Sprouffske K, Growthcurver sourcecode, 2016).
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