Data generated with the RAevol artificial evolution program

These Data represent three digital organisms (S1, S2 and S3) evolved during 40 000 generations under similar conditions in the artificial evolutionary environment RAevol (see main article for details). They are proposed as benchmarks for data-mining, knowledge discovery and network inference algorithm. More generaly, they are free of use for any scientific purpose. For each organism, we give the complete genome sequence (genome_best_indiv.txt), the complete gene/protein set (koGenes_triangles.txt), the genetic network in .dot format to be used with the graphviz software (network.dot) and the proteins concentration values in the systematic gene knock-out experiments (koMat.out). The complete description of the experiments is provided in the main article submitted to Intelligent Data Analysis Journal.

Reference: Beslon G., Parsons D.P., Pena J.-M., Rigotti C., Sanchez-Dehesa Y., From digital genetics to knowledge discovery: Perspectives in Genetic Networks understanding, Submitted to: Intelligent Data Analysis Journal (IDAj), 2009, 20 p.

Organism S1

51 genes, 328 regulation links
Data file (Zip format, 88Kb): IDAj_S1
Network overview (Pdf format, 332Kb): Network_S1

Organism S2

34 genes, 153 regulation links
data file (Zip format, 48Kb): IDAj_S2
Network overview (Pdf format, 280Kb): Network_S2

Organism S3

58 genes, 908 regulation links
data file (Zip format, 96Kb): IDAj_S3
Network overview (Pdf format, 468Kb): Network_S3

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All comments and questions must be addressed to: guillaume.beslon@liris.cnrs.fr