Difference between revisions of "RRG english"

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(New page: [http://http://alnitak.u-strasbg.fr/~wraff/RReportGenerator/index.html RReportGenerator] provides a tool for routine automatic statistical analysis in a highly user-friendly way via a grap...)
 
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[http://http://alnitak.u-strasbg.fr/~wraff/RReportGenerator/index.html RReportGenerator] provides a tool for routine automatic statistical analysis in a highly user-friendly way via a graphical user inferface (GUI).
 
  
While the statistical platform "[[R]]", [http://www.r-project.org/ see also the official site of R] and the vast collection of additional modules on [http://www.r-project.org/ CRAN] and [http://www.bioconductor.org Bioconductor] allow very powerful statistical analysis, it’s particular command-line syntax renders the program very difficult to access for non-statisticians.  In this context we have developed a program designed for routine executing of a predefined "analysis scenarios" for a given problem which can be easily operated by non-experienced users via it’s graphical interface.  In turn a pdf-report with the analysis results, tables and figures is generated that can be accompanied by supplemental data-sets for export to other programs (e.g. Excel).
 
 
Scenarios are written in the R and Latex language and allow following a path of multiple steps of data-treatment including flexible generation of graphs and potential identification of warnings.  The graphical user interface allows the user to simply choose among predefined analysis-scenarios to be applied this to a given data-set.  In turn a pdf-report with the analysis results, tables and figures is generated that can be accompanied by supplemental data-sets for export to other programs (e.g. Excel).  An example of mouse retina transcription profiling illustrates suitable tasks of quality control and analysis for automated analysis.
 
 
The program [http://http://alnitak.u-strasbg.fr/~wraff/RReportGenerator/index.html RReportGenerator] (compiled for Windows and Linux) and further informations, tutorial and examples are available [http://www-bio3d-igbmc.u-strasbg.fr/~wraff on Wolfgang's site]
 
 
Applications : <br>
 
Predefined analysis-scenarios for automatic analysis have been developed for the following areas :
 
 
# Transcriptomics : Analysis scenarios for resuming a large collection of different types of quality control (QC) for [http://www.affymetrix.com Affymetrix] genes expression chips .  <br>There is also a scenario for QC of printed arrays (images analyzed by [http://bioinfo.curie.fr/projects/maia/ MAIA]).
 
# Comparative genomic hybridization [http://en.wikipedia.org/wiki/Comparative_genomic_hybridization CGH]. <br> The available scenarios use 3 or 4 different algorithms of segmentation and allow supperposing the results.
 
# Transfected cell array (TCA) : The analysis scenario(s) may be used to define a threshold based on non-treated control samples and to report a summary about all samples tested on a transfection plate.
 
 
In conclusion, [http://www-bio3d-igbmc.u-strasbg.fr/~wraff/RReportGenerator/index.html RReportGenerator] allows to run routine statistical analysis while benefitting from the environement of R via a convenient graphical interface (GUI) allowing inexpereienced users to run routine analysis tasks.
 

Latest revision as of 14:49, 20 November 2007