Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity Softwares
Bonnet , Agnes (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Lagarrigue , Sandrine (INRA , Rennes (France). UMR 0598 Génétique Animale) | Liaubet , Laurence (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Robert-Granié , Christèle (INRA , Auzeville (France). UR 0631 Station d'Amélioration Génétique des Animaux) | SanCristobal , Magali (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Tosser Klopp , Gwenola(auteur de correspondance) (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire)
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.[br/] 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.[br/] Conclusion: 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).
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Эту запись предоставил Institut national de la recherche agronomique
