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JCell—a Java-based framework for inferring regulatory networks from time series data
Author(s) -
Christian Spieth,
J. Supper,
Felix Streichert,
N. Speer,
Andreas Zell
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl322
Subject(s) - computer science , java , series (stratigraphy) , time series , data mining , programming language , machine learning , biology , paleontology
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.

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