The state of the art in soybean transcriptomics resources and gene coexpression networks. Issue 1 (25th January 2021)

• Record Type: Journal Article
• Authors: Almeida-Silva, Fabricio; Moharana, Kanhu C; Venancio, Thiago M
• Editors: Long, Steve
• Is Part Of: In silico plants. Volume 3: Issue 1(2021)
• Publication Date: 2021-01-25
• Subjects: Functional genomics -- gene expression -- hub genes -- legumes -- modules; Plant physiology -- Periodicals; Botany -- Periodicals; Botany -- Mathematical models -- Periodicals; Crop science -- Periodicals; 580
• DOI: 10.1093/insilicoplants/diab005
• Languages: English
• ISSNs: 2517-5025

Abstract

Abstract: In the past decade, over 3000 samples of soybean transcriptomic data have accumulated in public repositories. Here, we review the state of the art in soybean transcriptomics, highlighting the major microarray and RNA-seq studies that investigated soybean transcriptional programs in different tissues and conditions. Further, we propose approaches for integrating such big data using gene coexpression network and outline important web resources that may facilitate soybean data acquisition and analysis, contributing to the acceleration of soybean breeding and functional genomics research.