Menu:
Software developed at BiGRe
The software resources developed by the BiGRe team are available via several Web servers and routinely used by bioinformaticians and biologists to decipher and interpret genomic data.Regulatory Sequence Analysis Tools (RSAT)
Web site: http://rsat.bigre.ulb.ac.be/rsat/
Since 1997, Jacques van Helden developed specialised software tools for the detection of cis-acting elements in non-coding sequences. The tools are routinely used to interpret gene expression profiles and other types of high-throughput data (e.g. regulation of protein complexes, analysis of miRNA, ...).
Analysis of mobile genetic elements (ACLAME)
Web site: http://aclame.ulb.ac.be
The ACLAME project aims at building a comprehensive classification of the functional modules of MGEs at the protein, gene, and higher levels. It includes
- A database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.
- Tools for MGEs analysis and detection in bacterial genomes.
Network Analysis Tools (NeAT)
Web site: http://rsat.bigre.ulb.ac.be/neat/
The Network Analysis Tools is another web site developed by the laboratory which regroups a series of modular tools for the analysis of networks, clusters and pathways.
Metabolic Path Finding
Web site: http://rsat.bigre.ulb.ac.be/neat/
We developed methods to predict metabolic pathways in a metabolic network by applying path finding and other graph-theory methods. These methods can be used to interpret transcriptome data, by detecting metabolic pathways catalyzed by clusters of co-expressed genes.
The metabolic path finding tool initially developed by Didier Croes has now been extended by Karoline Faust, and integrated in the NeAT suite.