The 2013 Galaxy Community Conference (GCC2013) was held at the University of Oslo in Oslo Norway, from 30 June through 2 July.
Galaxy Community Conference is an opportunity to participate in two full days of presentations, discussion, poster sessions, keynotes, lightning talks and Birds of a Feather sessions, all about high-throughput biology and the tools that support it. The conference also includes a Training Day for the second year in a row, this year with more in-depth topic coverage, and more concurrent sessions.
GCC2013 will continue the best of previous meetings, and also incorporate new features, such as poster sessions, keynote speakers, and themes that organize each day and session.
Summaries of the meeting are available in a couple places:
- GCC2013 videos on Vimeo
- #usegalaxy lights up northern skies: Meeting report by Scott Edmunds in GigaBlog.
- GCC2013 Report - an NBIC centric review of the meeting by Leon Mei.
- UiO Rector's Blog: Reproduserbarhet i livsvitenskapene
- Conference Tweets at ChirpStory
- Storify of conference Tweets
- Photos from the meeting (please add your own)
Who will be there?
Bioinformatics tool developers and data providers Integrate your tools and resources in the Galaxy framework, increasing their visibility, and making them easier to use and integrate with other resources.
Workflow developers and power bioinformatics users Use Galaxy to construct complex bioinformatics workflows and then use Galaxy to share them with others, or to publish them to the world.
Sequencing and Bioinformatics core staff Local Galaxy deployments can talk directly with your sequencers, simplify your analysis tasks, and give your researchers direct access to running their own custom analysis.
Data and analysis archival specialists Galaxy is being used to extend the goal of reproducibility from the wet lab to the computational realm by persisting datasets and the computational analyses that produced them.
You should attend to ...
- Present your work!
- Learn best practices for deploying Galaxy, defining and installing resources, and managing and moving large datasets.
- Network with others in the Galaxy community who are facing similar challenges and using Galaxy and other tools to address them.
- Learn what the Galaxy Project's plans are, and contribute to Galaxy's future direction.
- how to visualize your data in Galaxy and use visualization to guide your analysis (visual analytics)
- how to share, publish, and reuse your analyses with Galaxy
- how to perform and enable your users to perform common, yet complex, analyses using Galaxy
- when and how to use Galaxy on the Cloud
Galaxy makes it easy to perform analysis interactively through the web, on arbitrarily large datasets. With hundreds of tools there are few limits on what can be done. Now with NGS tools & workflows for short-read mapping, ChIP-seq, RNA-seq, metagenomics, and pileup analysis, trackster browser, collaborative pages, and support for Galaxy in the Cloud. Galaxy is distributed under the Academic Free License.
Interested in being a prominent part of one of the fastest growing communities in bioinformatics? Become a meeting sponsor.