Galaxy DESeq2 Docker Image
Differential gene expression analysis based on the negative binomial distribution
Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution
Author: Michael Love (HSPH Boston), Simon Anders, Wolfgang Huber (EMBL Heidelberg)
Love MI, Huber W and Anders S (2014). “Moderated estimation of fold change and dispersion for RNA-Seq data with DESeq2.”
* bioRxiv. http://dx.doi.org/10.1101/002832 * http://dx.doi.org/10.1101/002832.
At first you need to install docker. Please follow the instruction on https://docs.docker.com/installation/
After the successful installation, all what you need to do is:
docker run -d -p 8080:80 bgruening/galaxy-deseq2
I will shortly explain the meaning of all the parameters. For a more detailed describtion please consult the docker manual, it's really worth reading.
docker run will run the Image/Container for you. In case you do not have the Container stored locally, docker will download it for you.
-p 8080:80 will make the port 80 (inside of the container) available on port 8080 on your host. Inside the container a Apache Webserver is running on port 80 and that port can be bound to a local port on your host computer. With this parameter you can access your Galaxy instance via
http://localhost:8080 immediately after executing the command above.
bgruening/galaxy-deseq2 is the Image/Container name, that directs docker to the correct path in the docker index.
-d will start the docker container in daemon mode. For an interactive session, you can execute:
docker run -i -t -p 8080:80 bgruening/galaxy-deseq2
and run the
startup script by your own, to start PostgreSQL, Apache and Galaxy.
Docker images are "read-only", all your changes inside one session will be lost after restart. This mode is usefull to present Galaxy to your collegues or to run workshops with it. To install Tool Shed respositories or to save your data you need to export the calculated data to the host computer.
Fortunately, this is as easy as:
docker run -d -p 8080:80 -v /home/user/galaxy_storage/:/export/ bgruening/galaxy-deseq2
With the additional
-v /home/user/galaxy_storage/:/export/ parameter, docker will mount the folder
/home/user/galaxy_storage into the Container under
startup.sh script, that is usually starting Apache, PostgreSQL and Galaxy, will recognise the export directory with one of the following outcomes:
- In case of an empty
/export/directory, it will move the PostgreSQL database, the Galaxy database directory, Shed Tools and Tool Dependencies and various config scripts to /export/ and symlink back to the original location.
- In case of a non-empty
/export/, for example if you continue a previouse session within the same folder, nothing will be moved, but the symlinks will be created.
This enables you to have different export folders for different sessions - means real separation of your different projects.
Users & Passwords
The Galaxy Admin User has the username
firstname.lastname@example.org and the password
The PostgreSQL username is
galaxy, the password is
galaxy and the database name is
galaxy (I know I was really creative ;)).
If you want to create new users, please make sure to use the
/export/ volume. Otherwise your user will be removed after your docker session is finished.
- 0.1: Initial release!
Support & Bug Reports
For support, questions, or feature requests fill bug reports at https://github.com/bgruening/galaxy_recipes/issues.
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The above copyright notice and this permission notice shall be included in
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