Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares.
BACKGROUND
As presented in the introduction paper, three sets of differentially regulated genes were found after the analysis of the chicken infection data set from EADGENE. Different methods were used to interpret these results.


RESULTS
GOTM, Pathway Studio and Ingenuity softwares were used to investigate the three lists of genes. The three softwares allowed the analysis of the data and highlighted different networks. However, only one set of genes, showing a differential expression between primary and secondary response gave significant biological interpretation.


CONCLUSIONS
Combining these databases that were developed independently on different annotation sources supplies a useful tool for a global biological interpretation of microarray data, even if they may contain some imperfections (e.g. gene not or not well annotated).
Bonnet
Agnès
A
INRA, UMR444, Laboratoire de Génétique Cellulaire, F-31326 Castanet-Tolosan, France. agnes.bonnet@toulouse.inra.fr
Lagarrigue
Sandrine
S
Liaubet
Laurence
L
Robert-Granié
Christèle
C
Sancristobal
Magali
M
Tosser-Klopp
Gwenola
G