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Int J Biol Sci 2018; 14(8):965-970. doi:10.7150/ijbs.23328

Research Paper

RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis

Jing Jiang1, Fei Xing1, Xiangxiang Zeng2, Quan Zou3✉

1. School of Aerospace Engineering, Xiamen University, Xiamen, 361001, China;
2. School of Information Science and Engineering, Xiamen University, Xiamen 361001, China;
3. School of Computer Science and Technology, Tianjin University, Tianjin, 300354, China.

Abstract

The Rice Yield-related Database (RicyerDB) was created to complement with related research of influence rice (Oryza sativa L.) yield in multiple traits by manually curating the related databases and literature, and genomics and proteomics information that could be useful for comprehensive understanding of the rice biology. RicyerDB provides a more valuable resource in which to efficiently investigate, browse and analyze yield-related genes. The whole data set can be easily queried and downloaded through the webpage. In addition, RicyerDB also constructed a protein-protein interaction network with biological analysis. The combined rice database opens a new path to facilitate researchers achieving information on rice gene in terms of their effects on traits important for rice breeding. The web server is freely available at: http://server.malab.cn/Ricyer/index.html.

Keywords: rice, trait, yield, gene, protein

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
How to cite this article:
Jiang J, Xing F, Zeng X, Zou Q. RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis. Int J Biol Sci 2018; 14(8):965-970. doi:10.7150/ijbs.23328. Available from http://www.ijbs.com/v14p0965.htm