From single genes to co-expression networks: extracting knowledge from barley functional genomics
From single genes to co-expression networks: extracting knowledge from barley functional genomics
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DOI：
10.1007/s11103-005-8159-7
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发表时间：
2005-07-01
影响因子：
5.1
通讯作者：
Terzi, V
中科院分区：
文献类型：
--
作者：
Faccioli, P;Provero, P;Terzi, V
该论文报告了一种基于大麦基因共表达网络的基因表达分析“计算机”方法，该网络是通过对几个公开可用的 cDNA 文库的研究而产生的。这项工作是系统生物学在植物科学中的应用：在计算步骤结束时，我们确定了潜在相关基因组。从功能的角度来看，从网络构建的共表达基因群落具有显着的特征，如对其成员的基因本体注释的统计分析所示。已经进行了基于实验室的实验测试，以检查网络和生物特性之间的关系，并确定和建议从网络衍生数据中提取信息的有效策略。
The paper reports an 'in silico' approach to gene expression analysis based on a barley gene co-expression network resulting from the study of several publicly available cDNA libraries. The work is an application of Systems Biology to plant science: at the end of the computational step we identified groups of potentially related genes. The communities of co-expressed genes constructed from the network are remarkably characterized from the functional point of view, as shown by the statistical analysis of the Gene Ontology annotations of their members. Experimental, lab-based testing has been carried out to check the relationship between network and biological properties and to identify and suggest effective strategies of information extraction from the network-derived data.