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qfaR: tools for Quantitative Fitness Analysis of microbial cultures

Addinall et al., 2011. Banks et al., 2012. Lawless et al., 2010. QfaR: tools for Quantitative Fitness Analysis. This page describes how to install and use an R. Package for carrying out quantitative fitness analysis ( QFA. Of the growth of microbial cultures arrayed on a solid agar surface. A more detailed description of QFA and the motivation for carrying out these experiments and subsequent analysis can be found on the QFA website. Installing or updating the QFA package. And the qfa package. Start the ...

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qfaR: tools for Quantitative Fitness Analysis of microbial cultures | qfa.r-forge.r-project.org Reviews

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Addinall et al., 2011. Banks et al., 2012. Lawless et al., 2010. QfaR: tools for Quantitative Fitness Analysis. This page describes how to install and use an R. Package for carrying out quantitative fitness analysis ( QFA. Of the growth of microbial cultures arrayed on a solid agar surface. A more detailed description of QFA and the motivation for carrying out these experiments and subsequent analysis can be found on the QFA website. Installing or updating the QFA package. And the qfa package. Start the ...

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qfaR: tools for Quantitative Fitness Analysis of microbial cultures | qfa.r-forge.r-project.org Reviews

https://qfa.r-forge.r-project.org

Addinall et al., 2011. Banks et al., 2012. Lawless et al., 2010. QfaR: tools for Quantitative Fitness Analysis. This page describes how to install and use an R. Package for carrying out quantitative fitness analysis ( QFA. Of the growth of microbial cultures arrayed on a solid agar surface. A more detailed description of QFA and the motivation for carrying out these experiments and subsequent analysis can be found on the QFA website. Installing or updating the QFA package. And the qfa package. Start the ...

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iRVis: inteRactive Visualisation of fitness comparisons

http://qfa.r-forge.r-project.org/visTool

IRVis: inteRactive Visualisation of fitness comparisons. This document to have a physical copy to hand while using iRVis. By comparing the fitnesses of independent microbial strains grown under two different environmental or genetic conditions (e.g. query and control conditions) we can rank and compare the strength of gene-gene or gene-environment interactions. Several technologies for measuring microbial fitness exist, including Quantitative Fitness Analysis ( QFA. Figure 1: A static fitness plot. And p...

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research.ncl.ac.uk

Colonyzer

http://research.ncl.ac.uk/colonyzer

Addinall et al., 2011. Banks et al., 2012. Lawless et al., 2010. Colonyzer: quantifying the size of microbial cultures. Colonyzer is suitable for high-throughput screening of libraries of yeast mutants for example, and has proven extremely useful in the estimation of phenotypes such as exponential growth rate, appropriate for genome-wide investigations of genetic interaction. Colonyzer was used for cell density estimation in Addinall et al. 2011. And Chang et al. 2011. And several Python modules: numpy.

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qfaR: tools for Quantitative Fitness Analysis of microbial cultures

Addinall et al., 2011. Banks et al., 2012. Lawless et al., 2010. QfaR: tools for Quantitative Fitness Analysis. This page describes how to install and use an R. Package for carrying out quantitative fitness analysis ( QFA. Of the growth of microbial cultures arrayed on a solid agar surface. A more detailed description of QFA and the motivation for carrying out these experiments and subsequent analysis can be found on the QFA website. Installing or updating the QFA package. And the qfa package. Start the ...

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