de Lucas Miguel, Provart Nicholas J, Brady Siobhan M
Department of Plant Biology and Genome Center, UC Davis, Davis, CA, USA.
Methods Mol Biol. 2014;1062:97-136. doi: 10.1007/978-1-62703-580-4_5.
Bioinformatic tools are an increasingly important resource for Arabidopsis researchers. With them, it is possible to rapidly query the large data sets covering genomes, transcriptomes, proteomes, epigenomes, and other "omes" that have been generated in the past decade. Often these tools can be used to generate quality hypotheses at the click of a mouse. In this chapter, we cover the use of bioinformatic tools for examining gene expression and coexpression patterns, performing promoter analyses, looking for functional classification enrichment for sets of genes, and investigating protein-protein interactions. We also introduce bioinformatic tools that allow integration of data from several sources for improved hypothesis generation.
生物信息学工具对于拟南芥研究人员而言是一种日益重要的资源。借助这些工具,能够快速查询过去十年间生成的涵盖基因组、转录组、蛋白质组、表观基因组及其他“组”的大型数据集。通常,只需轻点鼠标,这些工具就能用于生成高质量的假设。在本章中,我们将介绍如何使用生物信息学工具来检查基因表达和共表达模式、进行启动子分析、寻找基因集的功能分类富集以及研究蛋白质 - 蛋白质相互作用。我们还将引入一些生物信息学工具,这些工具可整合来自多个来源的数据,以改进假设的生成。