Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares.
Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares.
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DOI：
10.1186/1753-6561-3-s4-s11
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发表时间：
2009-07-16
期刊：
影响因子：
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通讯作者：
Tosser-Klopp G
中科院分区：
文献类型：
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作者：
Bonnet A;Lagarrigue S;Liaubet L;Robert-Granié C;Sancristobal M;Tosser-Klopp G
如引言中所述，在分析来自EADGENE的鸡感染数据集后，发现了三组差异调节基因。不同的方法被用来解释这些结果。用GOTM、Pathway Studio和Incidity软件对三个基因列表进行分析。这三个软件可以分析数据并突出显示不同的网络。然而，只有一组基因，表现出差异表达之间的主要和次要的反应，给出了显着的生物学解释。结合这些数据库，独立开发的不同注释来源提供了一个有用的工具，全球生物学解释的微阵列数据，即使它们可能包含一些缺陷（例如基因没有或没有很好地注释）。
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. 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. 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).