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 - deepTS consists of three main functional modules, covering the processes of read cleaning and mapping; transcriptome map construction; expression abundance estimation; multiple-condition TS analysis pipelines, multiple-level TS characterization, and multiple-form visualization to allow users to perform TS analysis using either raw RNA-Seq data or expression abundance matrices directly.
 
-- deepTS project is hosted on GitHub (https://github.com/cma2015/deepTS). A demo server is available at https://deepts.nwafu.edu.cn/. We suggest users to run deepTS locally using the Docker image (https://hub.docker.com/r/malab/deepts).
+- deepTS project is hosted on GitHub (https://github.com/cma2015/deepTS). A demo server is available at http://www.omicstudio.cloud:4009/. We suggest users to run deepTS locally using the Docker image (https://hub.docker.com/r/malab/deepts).
 
     ![deepTS](https://github.com/cma2015/DeepTS/blob/master/Tutorials/deepTS_images/Figure%201_Overview_of_deepTS.png)