iCREPCP is a deep learning-based web server which has learned the cis-regulatory code of plant core promoters from three plant species of Arabidopsis, maize and sorghum. As an application, it can accurately identify which cis-regulatory elements (CREs) a given plant core promoter contains, as well as locate the exact position of each CRE (at base resolution) and its contribution to the plant core promoter's activity.
Citation: Kaixuan Deng#, Qizhe Zhang#, Yuxin Hong, Jianbin Yan*, Xuehai Hu*. iCREPCP: a deep learning-based web server for identifying base-resolution cis-regulatory elements within plant core promoters. Plant Commun. 2022 Sep 27:100455. doi: 10.1016/j.xplc.2022.100455.
Select model:
Tobacco leaves models
In these models, the strength of plant core promoter(labels of samples) is defined as the ability to drive expression of a barcoded reporter gene in tobacco leaves with or without enhancer in dark or in light.
Maize protoplasts models
In these models, the strength of plant core promoter(labels of samples) is defined as the ability to drive expression of a barcoded reporter gene in maize protoplasts with or without enhancer in dark.
What's New
2022-09-28
Our work is available online on Plant Communications.
2022-07-29
Add the functionality of motif match on our website.
2022-07-26
Add four trained models in our website.
2022-03-17
In addition to typing in a DNA sequence, users can also upload a fasta file.