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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 in...

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Detalles Bibliográficos
Autores principales: Bonnet, Agnès, Lagarrigue, Sandrine, Liaubet, Laurence, Robert-Granié, Christèle, SanCristobal, Magali, Tosser-Klopp, Gwenola
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2712741/
https://www.ncbi.nlm.nih.gov/pubmed/19615111
http://dx.doi.org/10.1186/1753-6561-3-S4-S11
Descripción
Sumario: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. 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).