Gene Co-Expression Network Tools and Databases for Crop Improvement

被引:11
|
作者
Zainal-Abidin, Rabiatul-Adawiah [1 ]
Harun, Sarahani [2 ]
Vengatharajuloo, Vinothienii [2 ]
Tamizi, Amin-Asyraf [1 ,3 ]
Samsulrizal, Nurul Hidayah [3 ]
机构
[1] Malaysian Agr Res & Dev Inst MARDI, Biotechnol & Nanotechnol Res Ctr, Serdang 43400, Selangor, Malaysia
[2] Univ Kebangsaan Malaysia, Inst Syst Biol, Ctr Bioinformat Res, Bangi 43600, Selangor, Malaysia
[3] Int Islamic Univ Malaysia IIUM, Dept Plant Sci, Kulliyyah Sci, Jalan Sultan Ahmad Shah, Kuantan 25200, Pahang, Malaysia
来源
PLANTS-BASEL | 2022年 / 11卷 / 13期
关键词
bioinformatics tool; crop; database; gene co-expression network; transcriptomics; RNA-SEQ; EXPRESSION; RICE; RECONSTRUCTION; IDENTIFICATION; ASSOCIATIONS; INFORMATION; CORNET;
D O I
10.3390/plants11131625
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Transcriptomics has significantly grown as a functional genomics tool for understanding the expression of biological systems. The generated transcriptomics data can be utilised to produce a gene co-expression network that is one of the essential downstream omics data analyses. To date, several gene co-expression network databases that store correlation values, expression profiles, gene names and gene descriptions have been developed. Although these resources remain scattered across the Internet, such databases complement each other and support efficient growth in the functional genomics area. This review presents the features and the most recent gene co-expression network databases in crops and summarises the present status of the tools that are widely used for constructing the gene co-expression network. The highlights of gene co-expression network databases and the tools presented here will pave the way for a robust interpretation of biologically relevant information. With this effort, the researcher would be able to explore and utilise gene co-expression network databases for crops improvement.
引用
收藏
页数:21
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