De Bodt Stefanie, Inzé Dirk
Department of Plant Systems Biology, VIB, Gent, Belgium.
Methods Mol Biol. 2013;1011:327-43. doi: 10.1007/978-1-62703-414-2_26.
To enable easy access and interpretation of heterogenous and scattered data, we have developed a user-friendly tool for data mining and integration in Arabidopsis thaliana, designated CORrelation NETworks (acronym CORNET), allowing browsing of microarray data, construction of coexpression and protein-protein interactions (PPIs), analysis of gene association and transcription factor (TF) regulatory networks, and exploration of diverse functional annotations. CORNET consists of three tools that can be used individually or in combination, namely, the coexpression tool, the PPI tool, and the TF tool. Different search options are implemented to enable the creation of networks centered around multiple input genes or proteins. Functional annotation resources are included to retrieve relevant literature, phenotypes, localization, gene ontology, plant ontology, and biological pathways. Networks and associated evidence of the majority of the currently available data types are visualized in Cytoscape. CORNET is available at https://bioinformatics.psb.ugent.be/cornet.
为了便于对异质且分散的数据进行访问和解读,我们开发了一种用户友好型工具,用于拟南芥的数据挖掘和整合,命名为“相关网络”(简称CORNET),它允许浏览微阵列数据、构建共表达和蛋白质-蛋白质相互作用(PPI)、分析基因关联和转录因子(TF)调控网络,以及探索各种功能注释。CORNET由三个工具组成,这些工具可以单独使用或组合使用,即共表达工具、PPI工具和TF工具。实现了不同的搜索选项,以便围绕多个输入基因或蛋白质创建网络。包含功能注释资源以检索相关文献、表型、定位、基因本体、植物本体和生物途径。大多数当前可用数据类型的网络及相关证据在Cytoscape中可视化。CORNET可在https://bioinformatics.psb.ugent.be/cornet获取。