Ge Sto Different : a Cytoscape plugin for the generation and the identification of gene regulatory networks describing a stochastic cell differentiation process
Author(s) -
Marco Antoniotti,
Gary D. Bader,
Giulio Caravagna,
Silvia Crippa,
Alex Graudenzi,
Giancarlo Mauri
Publication year - 2013
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/bts726
Subject(s) - identification (biology) , computer science , gene regulatory network , plug in , computational biology , systems biology , biology , theoretical computer science , gene , genetics , gene expression , botany , programming language
The characterization of the complex phenomenon of cell differentiation is a key goal of both systems and computational biology. GeStoDifferent is a Cytoscape plugin aimed at the generation and the identification of gene regulatory networks (GRNs) describing an arbitrary stochastic cell differentiation process. The (dynamical) model adopted to describe general GRNs is that of noisy random Boolean networks (NRBNs), with a specific focus on their emergent dynamical behavior. GeStoDifferent explores the space of GRNs by filtering the NRBN instances inconsistent with a stochastic lineage differentiation tree representing the cell lineages that can be obtained by following the fate of a stem cell descendant. Matched networks can then be analyzed by Cytoscape network analysis algorithms or, for instance, used to define (multiscale) models of cellular dynamics.
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