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TableButler - a Windows based tool for processing large data tables generated with high-throughput methods.

Christian Schwager1, Ute Wirkner, Amir Abdollahi

  • 1Department of Radiation Oncology, German Cancer Research Center (DKFZ) and University of Heidelberg Medical School, Heidelberg, Germany. christian.schwager@med.uni-heidelberg.de

BMC Bioinformatics
|July 31, 2009
PubMed
Summary
This summary is machine-generated.

TableButler is a new Windows application designed to simplify complex "omics" data analysis for biologists and clinicians. This software facilitates the merging and preprocessing of large datasets, making advanced bioinformatics accessible without extensive training.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Diagnostics

Background:

  • High-throughput "omics" data analysis is crucial in life sciences and molecular diagnostics.
  • Large-scale studies generate numerous tab-delimited data files requiring significant preprocessing.
  • Existing tools often lack user-friendly interfaces for biologists and clinicians.

Purpose of the Study:

  • To develop a user-friendly Windows application for processing large-scale omics data.
  • To enable biologists and clinicians to perform data preprocessing without extensive bioinformatics expertise.
  • To streamline the merging and annotation of diverse data tables into expression matrices.

Main Methods:

  • Development of a Microsoft Windows-based application named "TableButler".
  • Implementation of an intuitive drag-and-drop user interface for workflow setup.
  • Focus on handling, joining, and preprocessing large tab-delimited ASCII data files.

Main Results:

  • TableButler provides a monolithic Windows application for data management.
  • The software allows users to combine, merge, and preprocess large datasets efficiently.
  • Biologists and clinicians can perform complex data tasks with ease.

Conclusions:

  • TableButler empowers scientists with limited bioinformatics backgrounds to analyze large-scale omics data.
  • The application simplifies essential data preprocessing steps, accelerating research.
  • Further details and the software are available at http://www.OncoExpress.org/software/tablebutler.