RReportGenerator: automatic reports from routine statistical analysis using R

Wolfgang Raffelsberger; Yannick Krause; Luc Moulinier; David Kieffer; Anne-Laure Morand; Laurent Brino; Olivier Poch

doi:10.1093/bioinformatics/btm556

RReportGenerator: automatic reports from routine statistical analysis using R

Bioinformatics. 2008 Jan 15;24(2):276-8. doi: 10.1093/bioinformatics/btm556. Epub 2007 Nov 24.

Authors

Wolfgang Raffelsberger¹, Yannick Krause, Luc Moulinier, David Kieffer, Anne-Laure Morand, Laurent Brino, Olivier Poch

Affiliation

¹ Laboratoire de Bioinformatique et Génomique Intégratives, IGBMC, UMR 7104, 67404 Illkirch, France. wolfgang.raffelsberger@igbmc.u-strasbg.fr

PMID: 18037684
DOI: 10.1093/bioinformatics/btm556

Abstract

With the establishment of high-throughput (HT) screening methods there is an increasing need for automatic analysis methods. Here we present RReportGenerator, a user-friendly portal for automatic routine analysis using the statistical platform R and Bioconductor. RReportGenerator is designed to analyze data using predefined analysis scenarios via a graphical user interface (GUI). A report in pdf format combining text, figures and tables is automatically generated and results may be exported. To demonstrate suitable analysis tasks we provide direct web access to a collection of analysis scenarios for summarizing data from transfected cell arrays (TCA), segmentation of CGH data, and microarray quality control and normalization.

Availability: RReportGenerator, a user manual and a collection of analysis scenarios are available under a GNU public license on http://www-bio3d-igbmc.u-strasbg.fr/~wraff

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Computer Graphics*
Data Interpretation, Statistical
Documentation / methods*
Gene Expression Profiling / methods*
Oligonucleotide Array Sequence Analysis / methods*
Software*
User-Computer Interface*