Galaxy Community Conferences are an opportunity to participate in presentations, discussions, demos, poster sessions, lightning talks and birds-of-a-feather gatherings, all about high-throughput biology and the tools that support it. GCC2017 will include keynote talks and exhibitors, and plenty of networking opportunities. There are also three days of pre-conference activities, including hackathons and training. If you work in data-intensive biomedical research, there is no better place than GCC2017 to present your work and to learn from others.
Galaxy is an open, web-based platform for data intensive biomedical research. Whether on the free public server or your own instance, you can perform, reproduce, and share complete analyses. Galaxy's features include:
A user-friendly interface
Reproducibie and traceabie analyses
Build reusable workflows from scratch or by extracting them from executed analyses
Share data and processes between users
Interfaces with any language
Customise your own instance with tools you have developed or you have downloaded from the tool shed
For who ?
Workflow developers and power bioinformatics users Use Galaxy to construct complex bioinformatics workflows and then run them repeatedly, share them with others, or publish them to the world.
Sequencing and Bioinformatics core staff Local Galaxy deployments can simplify analysis tasks and empower researchers by giving them direct access to managing custom analyses.
Bioinformatics tool developers and data providers Integrate your tools and resources into the Galaxy ecosystem, increasing the tools’ visibility, and making them easier to use and integrate with other resources.
Data and analysis archival specialists Galaxy extends the goal of reproducibility from the bench to the computational realm. Galaxy records all steps in an analysis including datasets and tools and tool settings used, all without requiring any additional effort from the user.
Researchers with more data than can fit into a spreadsheet Galaxy enables bench scientists to do complex bioinformatics analyses that scale. Learn how to exploit your data.