Introduction to Galaxy Analyses

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Material

Core

R

Galaxy instances

You can use a public Galaxy instance which has been tested for the availability of the used tools. They are listed along with the tutorials above.

You can also use the following Docker image for these tutorials:

docker run -p 8080:80 quay.io/galaxy/introduction-training

NOTE: Use the -d flag at the end of the command if you want to automatically download all the data-libraries into the container.

It will launch a flavored Galaxy instance available on http://localhost:8080. This instance will contain all the tools and workflows to follow the tutorials in this topic. Login as admin with password password to access everything.

Maintainers

This material is maintained by:

Jennifer Hillman-Jackson

Dave Clements

For any question related to this topic and the content, you can contact them or visit our Gitter channel.

Contributors

This material was contributed to by:

Andrea Bagnacani

Bérénice Batut

Saskia Hiltemann

Anne Pajon

Nicola Soranzo

Helena Rasche

Christopher Barnett

Michele Maroni

Anne Fouilloux

Nadia Goué

Olha Nahorna

Dave Clements

Anna Syme

Fotis E. Psomopoulos

Toby Hodges

Clemens Blank

Björn Grüning

Dilmurat Yusuf

Sarah Peter

Anton Nekrutenko

Joachim Wolff

Anthony Bretaudeau