- PlantCRE is a deep learning-based web server which has learned the cis-regulatory code of plant genes from four plant species of Arabidopsis, Zea mays, Oryza sativa and Solanum lycopersicum. As an application, it can identify plant cis-regulatory elements (CREs) of given gene(s), as well as locate the exact position of each CRE.
- Citation: Yang Qiu#, Lifen Liu#, Jiali Yan#, Xianglei Xiang, Shouzhe Wang, Yun Luo, Kaixuan Deng, Jieting Xu, Minliang Jin, Xiaoyu Wu, Liwei Cheng, Ying Zhou, Weibo Xie, Hai-Jun Liu, Alisdair R. Fernie, Xuehai Hu* and Jianbing Yan*. Precise engineering of gene expression by editing plasticity.
Select A Species:
Zea mays
This model can be used to identify CREs within a range of 120kb genome sequence of 46272 genes from maize B74V4 reference genome.
Oryza sativa
This model can be used to identify CREs within a range of 40kb genome sequence of 55986 genes from rice MSU7.0 reference genome.
Arabidopsis thaliana
This model can be used to identify CREs within a range of 5kb genome sequence of 38252 genes from arabidopsis TAIR10 reference genome.
Solanum lycopersicum
This model can be used to identify CREs within a range of 90kb genome sequence of 34725 genes from tomato SL2.50 reference genome.
What's New
2025-02-25
Our research article has been accepted for publication in Genome Biology!
2023-10-11
The online service of the PlantCRE is available!