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RReportGenerator: automatic reports from routine statistical analysis using R.

Wolfgang Raffelsberger1, Yannick Krause, Luc Moulinier

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

Bioinformatics (Oxford, England)
|November 27, 2007
PubMed
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RReportGenerator provides an automated analysis portal for high-throughput screening data. This user-friendly tool generates comprehensive PDF reports with integrated text, figures, and tables for various biological analyses.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput (HT) screening generates large datasets requiring automated analysis.
  • Existing methods may lack user-friendliness or comprehensive reporting features.

Purpose of the Study:

  • To develop a user-friendly portal for automated routine analysis of high-throughput screening data.
  • To integrate the statistical platform R and Bioconductor for robust data analysis.
  • To provide automatic generation of comprehensive reports combining text, figures, and tables.

Main Methods:

  • Developed RReportGenerator, a portal with a graphical user interface (GUI).
  • Integrated R and Bioconductor for statistical analysis.
  • Implemented predefined analysis scenarios for specific biological tasks.

Related Experiment Videos

Main Results:

  • RReportGenerator automates data analysis and report generation.
  • Generated PDF reports include text, figures, and tables.
  • Demonstrated utility with analysis scenarios for transfected cell arrays (TCA), CGH data segmentation, and microarray quality control/normalization.

Conclusions:

  • RReportGenerator offers an efficient solution for routine analysis of high-throughput screening data.
  • The portal facilitates automatic generation of comprehensive and exportable analysis reports.
  • Provides accessible analysis scenarios for common tasks in molecular biology research.