deepEA: a containerized web server for interactive analysis of epitranscriptome sequencing data

Introduction

• 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.
• The deepEA demo server can be accessed via http://deepea.omicstudio.cloud.
• The deepEA project is hosted on https://cma2015.github.io/deepEA.
• The deepEA Docker image can be obtained from https://hub.docker.com/r/malab/deepea.

How to use deepEA

• Test data and tutorial of deepEA are presented at https://cma2015.github.io/deepEA

How to cite deepEA

• Zhai J, Song J, Zhang T, Xie S, Ma C*. 2021. deepEA: a containerized web server for interactive analysis of epitranscriptome sequencing data. Plant Physiology, 185: 29-33

How to access help

• Comments/suggestions/bugs/issues are welcome reported here or contact: Jingjing Zhai zhaijingjing603@gmail.com or Chuang Ma chuangma2006@gmail.com

Change log

• 2020.09 Add m⁶ sequencing data analysis pipeline in tutorial
• 2020.08 Release deepEA v1.0
• 2020.06 Update multi-omics integration
• 2020.06 Optimize feature encoding to perform parallel analysis
• 2020.04 fixed admin user bug
• 2019.11 we updated deepEA
• 2019.01 deepEA web server online
• 2018.05 we launched deepEA project