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countfitter's Introduction

published in: Annals of Translational Medicine CRAN_Status_Badge Downloads pkgdown check R build status

countfitteR

countfitteR is a web server based on Shiny technology for selecting the most appropriate count distribution in provided data sets.

The functions of countfitteR can also be accessed through our web server or via the R console for customized analysis pipelines.

Installation

countfitteR is available on CRAN.

install.packages("countfitteR")

However, you can also install the developmental version of countfitteR directly from GitHub

devtools::install_github("BioGenies/countfitteR")

Run countfitteR

To run countfitteR type the following command into an R console.

countfitteR::countfitteR_gui()

How to cite

  • Chilimoniuk, J., Gosiewska, A., Słowik, J., Weiss, R., Deckert, P.M., Rödiger, S., and Burdukiewicz, M. (2021). countfitteR: efficient selection of count distributions to assess DNA damage. Annals of Translational Medicine.
  • Chilimoniuk, J., Gosiewska, A., Słowik, J., Weiss, R., Deckert, P.M., Rödiger, S., Burdukiewicz, M., (2021). countfitteR: efficient selection of count distributions to assess DNA damage. Annals of Translational Medicine. https://doi.org/10.21037/atm-20-6363
@Article{,
  author = "Jarosław Chilimoniuk and Alicja Gosiewska and Jadwiga Słowik and Romano Weiss and P. Markus Deckert and Stefan Rödiger and Michał Burdukiewicz",
  title = "countfitteR: efficient selection of count distributions to assess DNA damage",
  year = 2021, 
  issn = {2305-5847},
  journal = "Annals of Translational Medicine",
  url = "https://atm.amegroups.com/article/view/63994",
}

@article{chilimoniuk_countfitter_2021,
	title = {{countfitteR}: efficient selection of count distributions to assess {DNA} damage},
	volume = {0},
	issn = {2305-5847, 2305-5839},
	shorttitle = {{countfitteR}},
	url = {https://atm.amegroups.com/article/view/63994},
	doi = {10.21037/atm-20-6363},
	abstract = {countfitteR: efficient selection of count distributions to assess DNA damage},
	language = {en},
	number = {0},
	urldate = {2021-03-15},
	journal = {Annals of Translational Medicine},
	author = {Chilimoniuk, Jarosław and Gosiewska, Alicja and Słowik, Jadwiga and Weiss, Romano and Deckert, P. Markus and Rödiger, Stefan and Burdukiewicz, Michał},
	month = mar,
	year = {2021},
	note = {Number: 0
Publisher: AME Publishing Company}
}

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