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Online Reproducible Research: An Application to Multivariate Analysis of Bacterial DNA Fingerprint Data

J. Thioulouse 1 C. Valiente Moro 2 L. Zenner 3
1 Ecologie quantitative et évolutive des communautés
Département écologie évolutive [LBBE]
3 Génétique et évolution des interactions hôtes-parasites
GINSENG - Département génétique, interactions et évolution des génomes [LBBE]
Abstract : This paper presents an example of online reproducible multivariate data analysis. This example is based on a web page providing an online computing facility on a server. HTML forms contain editable R code snippets that can be executed in any web browser thanks to the Rweb software. The example is based on the multivariate analysis of DNA fingerprints of the internal bacterial flora of the poultry red mite Dermanyssus gallinae. Several multivariate data analysis methods from the ade4 package are used to compare the fingerprints of mite pools coming from various poultry farms. All the computations and graphical displays can be redone interactively and further explored online, using only a web browser. Statistical methods are detailed in the duality diagram framework, and a discussion about online reproducibility is initiated.
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https://hal.archives-ouvertes.fr/hal-00539265
Contributor : Stéphane Delmotte <>
Submitted on : Wednesday, November 24, 2010 - 2:43:40 PM
Last modification on : Wednesday, July 21, 2021 - 3:49:49 AM

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  • HAL Id : hal-00539265, version 1

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J. Thioulouse, C. Valiente Moro, L. Zenner. Online Reproducible Research: An Application to Multivariate Analysis of Bacterial DNA Fingerprint Data. The R Journal, R Foundation for Statistical Computing, 2010, 2 (1), pp.44-52. ⟨hal-00539265⟩

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