The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves
Open accessAbstract
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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The Levenberg-Marquardt algorithm: Implementation and theory
Moré, J. J. (1978) · Lecture Notes in Mathematics · doi:10.1007/bfb0067700 · Cited by 5,773
Modeling of the Bacterial Growth Curve
Zwietering, M. H., Jongenburger, I., Rombouts, F. M., & van 't Riet, K. (1990) · Applied and Environmental Microbiology · doi:10.1128/aem.56.6.1875-1881.1990 · Cited by 4,233
An introduction to population genetics theory
Crow, J. F., & Kimura, M. (1970) · Medical Entomology and Zoology · Cited by 4,223
THE GROWTH OF BACTERIAL CULTURES
Monod, J. (1949) · Annual Review of Microbiology · doi:10.1146/annurev.mi.03.100149.002103 · Cited by 3,707
An Introduction to Population Genetics Theory
J., A., Crow, J. F., & Kimura, M. (1971) · Population (French Edition) · doi:10.2307/1529706 · Cited by 3,474
A non-autonomous differential equation to modelbacterial growth
Baranyi, J., Roberts, T. A., & McClure, P. (1993) · Food Microbiology · doi:10.1006/fmic.1993.1005 · Cited by 530
grofit: Fitting Biological Growth Curves with R
Kahm, M., Hasenbrink, G., Lichtenberg-Fraté, H., Ludwig, J., & Kschischo, M. (2010) · Journal of Statistical Software · doi:10.18637/jss.v033.i07 · Cited by 514
Hall, B. G., Acar, H., Nandipati, A., & Barlow, M. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/mst187 · Cited by 507
Buchanan, R. L., Whiting, R. C., & Damert, W. C. (1997) · Food Microbiology · doi:10.1006/fmic.1997.0125 · Cited by 503
Evolutionary rescue from extinction is contingent on a lower rate of environmental change
Lindsey, H. A., Gallie, J., Taylor, S., & Kerr, B. (2013) · Nature · doi:10.1038/nature11879 · Cited by 309
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Metadata
- Authors
- Sprouffske, K., & Wagner, A.
- Venue
- BMC Bioinformatics
- Published
- 2016-04-19
- Volume
- 17
- Issue
- 1
- Pages
- 172-172
- ISSN
- 1471-2105 (ISSN-L)
- OpenAlex
- W2338194256
- Cited by
- 847
- References
- 19
- FWCI
- 21.85
- Type
- journal article
- Language
- en
- Open access
- gold
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