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rSalvador: An R Package for the Fluctuation Experiment

The past few years have seen a surge of novel applications of the Luria-Delbrück fluctuation assay protocol in bacterial research. Appropriate analysis of fluctuation assay data often requires computational methods that are unavailable in the popular web tool FALCOR. This paper introduces an R packa...

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Autor principal: Zheng, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714482/
https://www.ncbi.nlm.nih.gov/pubmed/29084818
http://dx.doi.org/10.1534/g3.117.300120
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author Zheng, Qi
author_facet Zheng, Qi
author_sort Zheng, Qi
collection PubMed
description The past few years have seen a surge of novel applications of the Luria-Delbrück fluctuation assay protocol in bacterial research. Appropriate analysis of fluctuation assay data often requires computational methods that are unavailable in the popular web tool FALCOR. This paper introduces an R package named rSalvador to bring improvements to the field. The paper focuses on rSalvador’s capabilities to alleviate three kinds of problems found in recent investigations: (i) resorting to partial plating without properly accounting for the effects of partial plating; (ii) conducting attendant fitness assays without incorporating mutants’ relative fitness in subsequent data analysis; and (iii) comparing mutation rates using methods that are in general inapplicable to fluctuation assay data. In addition, the paper touches on rSalvador’s capabilities to estimate sample size and the difficulties related to parameter nonidentifiability.
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spelling pubmed-57144822017-12-05 rSalvador: An R Package for the Fluctuation Experiment Zheng, Qi G3 (Bethesda) Software and Data Resources The past few years have seen a surge of novel applications of the Luria-Delbrück fluctuation assay protocol in bacterial research. Appropriate analysis of fluctuation assay data often requires computational methods that are unavailable in the popular web tool FALCOR. This paper introduces an R package named rSalvador to bring improvements to the field. The paper focuses on rSalvador’s capabilities to alleviate three kinds of problems found in recent investigations: (i) resorting to partial plating without properly accounting for the effects of partial plating; (ii) conducting attendant fitness assays without incorporating mutants’ relative fitness in subsequent data analysis; and (iii) comparing mutation rates using methods that are in general inapplicable to fluctuation assay data. In addition, the paper touches on rSalvador’s capabilities to estimate sample size and the difficulties related to parameter nonidentifiability. Genetics Society of America 2017-10-30 /pmc/articles/PMC5714482/ /pubmed/29084818 http://dx.doi.org/10.1534/g3.117.300120 Text en Copyright © 2017 Zheng http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software and Data Resources
Zheng, Qi
rSalvador: An R Package for the Fluctuation Experiment
title rSalvador: An R Package for the Fluctuation Experiment
title_full rSalvador: An R Package for the Fluctuation Experiment
title_fullStr rSalvador: An R Package for the Fluctuation Experiment
title_full_unstemmed rSalvador: An R Package for the Fluctuation Experiment
title_short rSalvador: An R Package for the Fluctuation Experiment
title_sort rsalvador: an r package for the fluctuation experiment
topic Software and Data Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714482/
https://www.ncbi.nlm.nih.gov/pubmed/29084818
http://dx.doi.org/10.1534/g3.117.300120
work_keys_str_mv AT zhengqi rsalvadoranrpackageforthefluctuationexperiment