Welcome to
Network Analysis Tools
(
NeAT). This web site provides a series of modular computer
programs specifically designed for the analysis of biological networks.
News
New tools
-
In the context of the EU-funded
MICROME project, focused on the
annotation of bacterial metabolism, we
developed a simplified interface for the
pathway extraction tool, specifically
adapted to discover metabolic pathways
from sets of functionally related
bacterial genes (e.g. co-expression
clusters, operons, syntons, synteny
groups, ...).
Recent publications
- Book: Jacques van Helden, Ariane Toussaint and Denis
Thieffry (2012). Bacterial Molecular Networks. Volume in the series
Methods in Molecular Biology 804 (28 chapters).
[Publisher's site]
-
van Helden, J., Toussaint, A. and Thieffry, D. (2012). Bacterial
molecular networks: bridging the gap between functional genomics and
dynamical modelling. Methods Mol Biol 804, 1-11.
[PMID 22144145]
- Lima-Mendez, G. (2012). Reticulate Classification of Mosaic
Microbial Genomes Using NeAT Website. Methods Mol Biol 804, 81-91.
[PMID 22144149]
-
Faust, K. and van Helden, J. (2012). Predicting Metabolic Pathways
by Sub-network Extraction. Methods Mol Biol 804, 107-30.
[PMID 22144151]
- Brohée, S. (2012). Using the NeAT Toolbox to Compare Networks
to Networks, Clusters to Clusters, and Network to Clusters. Methods
Mol Biol 804, 327-42.
[PMID 22144162]
- Faust, K., Croes, D. and van Helden, J. (2011). Prediction of
metabolic pathways from genome-scale metabolic networks. Biosystems
105, 109-21.
[PMID 21645586]
[doi:10.1016/j.biosystems.2011.05.004]
- Faust, K., Dupont, P., Callut, J. and van Helden,
J. (2010). Pathway discovery in metabolic networks by subgraph
extraction. Bioinformatics 26:1211-8. [Pubmed 20228128]
... other
publications
This website is free and open to all users.