JCell---a Java-based framework for inferring regulatory networks from time series data

  • Authors:

  • C. Spieth;J. Supper;F. Streichert;N. Speer;A. Zell

  • Affiliations:

  • Centre for Bioinformatics Tübingen (ZBIT), University of Tübingen Sand 1, 72076 Tübingen, Germany;Centre for Bioinformatics Tübingen (ZBIT), University of Tübingen Sand 1, 72076 Tübingen, Germany;Centre for Bioinformatics Tübingen (ZBIT), University of Tübingen Sand 1, 72076 Tübingen, Germany;Centre for Bioinformatics Tübingen (ZBIT), University of Tübingen Sand 1, 72076 Tübingen, Germany;Centre for Bioinformatics Tübingen (ZBIT), University of Tübingen Sand 1, 72076 Tübingen, Germany

  • Venue:
  • Bioinformatics
  • Year:
  • 2006

Quantified Score

Hi-index 3.84

Visualization

Abstract

Motivation: JCell is a Java-based application for reconstructing gene regulatory networks from experimental data. The framework provides several algorithms to identify genetic and metabolic dependencies based on experimental data conjoint with mathematical models to describe and simulate regulatory systems. Owing to the modular structure, researchers can easily implement new methods. JCell is a pure Java application with additional scripting capabilities and thus widely usable, e.g. on parallel or cluster computers. Availability: The software is freely available for download at http://www-ra.informatik.uni-tuebingen.de/software/JCell Contact: christian.spieth@uni-tuebingen.de