Information Commons for Rice (IC4R)
Zhang Zhang
Hu Song-Nian
He Hang
Zhang Huiyong
Chen Fei
Zhao Wenming
Xiao Jingfa
Chen Ling-Ling
Xue Yu
Wang Xiangfeng
Xia Lin
Wang Xin
Luo Yingfeng
He Zilong
Wu Shuangyang
Hao Lili
Zou Dong
Yang Li
Huang Dawei
Xu Xingjian
Yan Wei
Li Qian
Zhong Jun
Yuan Fangfang
Zhang Ye
Sang Jian
Ma Lina
Liu Siqi
Cheng Han
Wang Yongbo
Deng Wankun
Ji Zhaohua
· 2016
期刊名称：
Nucleic Acids Research
2016 年
44 卷
D1 期
摘要：
Rice is the most important staple food for a large part of the world's human population and also a key model organism for plant research. Here, we present Information Commons for Rice (IC4R; http://ic4r.org), a rice knowledgebase featuring adoption of an extensible and sustainable architecture that integrates multiple omics data through community-contributed modules. Each module is developed and maintained by different committed groups, deals with data collection, processing and visualization, and delivers data on-demand via web services. In the current version, IC4R incorporates a variety of rice data through multiple committed modules, including genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community. Unlike extant related databases, IC4R is designed for scalability and sustainability and thus also features collaborative integration of rice data and low costs for database update andmaintenance. Future directions of IC4R include incorporation of other omics data and association of multiple omics data with agronomically important traits, dedicating to build IC4R into a valuable knowledgebase for both basic and translational researches in rice.
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