Download software here !

• Graphical User Interface（GUI）:     EWAS GUI (2.1)

• Jar package:     ewas2.1.jar

• Complete package:     ewas_complete.tar.gz     ewas_complete.zip

• Example Files download:

  example_ewas:	example_ewas.txt	example_ewas.zip
  example_gMD:	example_gMD.txt	example_gMD.zip
  example_gblock:	example_gblock.txt	example_gblock.zip
  example_linear:	example_linear.txt	example_linear.zip
  example_cor:	example_cor.txt	example_cor.zip
  example_logistic:	example_logistic.txt	example_logistic.zip
  example_meplotype:	example_meplotype.txt	example_meplotype.zip

• Java Runtime Environment download: EWAS is designed to work with (JRE) 7.0 or later. You may find the most recent JRE (Java Runtime Environment) at the link: Java Runtime Environment Downloads.

How to Cite EWAS ?

EWAS project needs your support!

Please cite the following paper when you use EWAS. Most analysis method can be found in this paper.

-------------------------------------------------------------------------------------------------------------------------------------------------

 

1. Jing Xu, Linna Zhao, Di Liu, Simeng Hu1, Xiuling Song, Jin Li, Hongchao Lv, Lian Duan, Mingming Zhang, Qinghua Jiang, Guiyou Liu, Shuilin Jin, Mingzhi Liao, Meng Zhang, Rennan Feng, Fanwu Kong, Liangde Xu & Yongshuai Jiang. EWAS: epigenome-wide association study software 2.0.

Bioinformatics. 2018 (Accepted).

[Abstract]     [PDF]     [PubMed entry]

 

2. Linna Zhao, Di Liu, Jing Xu, Zhaoyang Wang, Yang Chen,Changgui Lei, Ying Li, Guiyou Liu and Yongshuai Jiang. The framework for population epigenetic study. Brief Bioinform. 2016 Oct 19. pii: bbw098.

[Abstract]     [PDF]     [PubMed entry]