大豆转录组学资源和基因共表达网络的最新进展

IF 2.6 Q1 AGRONOMY
Fabrício Almeida-Silva, K. C. Moharana, T. M. Venancio
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引用次数: 2

摘要

在过去的十年中,在公共数据库中积累了3000多个大豆转录组数据样本。在这里,我们回顾了大豆转录组学的最新进展,重点介绍了在不同组织和条件下研究大豆转录程序的主要微阵列和RNA-seq研究。此外,我们提出了利用基因共表达网络整合这些大数据的方法,并概述了可能促进大豆数据采集和分析的重要网络资源,有助于加速大豆育种和功能基因组学研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The state of the art in soybean transcriptomics resources and gene coexpression networks
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.
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
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