deepEA is a convenient, freely available, web-based platform that is capable to support deep analysis of epitranscriptome sequencing data with several general and specific functionalities. Currently, deepEA consists of six modules: Data Preparation, Quality Control, Identification of RNA Modifications, Functional Annotation, Multi-omics Integrative Analysis and Prediction Analysis Based on Machine Learning.
- Web Server
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- Please cite the following article:
Zhai J., Song, J., Zhang T., Xie S., Ma, C. (2020). deepEA: a containerized web server for interactive analysis of epitranscriptome sequencing data. Plant Physiology https://dx.doi.org/10.1093/plphys/kiaa008
Chuang Ma
Principal Investigator, Professor, Doctoral Supervisor
My research interests include artificial intelligence, abiotic stress and plant breeding.