Sircar Sanchari, Parekh Nita, Sablok Gaurav
International Institute of Information Technology, Gachibowli, Hyderabad, Telangana, 500032, India.
Department of Biodiversity and Molecular Ecology, Fondazione Edmund Mach, IASMA, 380010, Italy.
Methods Mol Biol. 2018;1667:203-221. doi: 10.1007/978-1-4939-7278-4_16.
Identifying functionally coexpressed genes and modules has increasingly become important to understand the transcriptional flux and to understand large scale gene association. Application of the graph theory and combination of tools has allowed to understand the genic interaction and to understand the role of hub and non-hub proteins in plant development and its ability to cope with stress. Association genetics has also been coupled with network modules to map these key genes as e-QTLs. High throughput sequencing approaches has revolutionized the mining of the gene behavior and also the association of the genes over time-series. The present protocol chapter presents a unified workflow to understand the transcriptional modules in Brachypodium distachyon using weighted coexpressed gene network analysis approach.
识别功能上共表达的基因和模块对于理解转录通量以及大规模基因关联变得越来越重要。图论的应用和工具的结合有助于理解基因相互作用，并了解枢纽蛋白和非枢纽蛋白在植物发育及其应对胁迫能力中的作用。关联遗传学也已与网络模块相结合，将这些关键基因定位为表达数量性状位点（e-QTL）。高通量测序方法彻底改变了基因行为的挖掘以及基因随时间序列的关联。本章方案介绍了一种统一的工作流程，用于使用加权共表达基因网络分析方法来理解二穗短柄草中的转录模块。
