The deadline for submitting oral presentation abstracts for the 2017 Galaxy
Community Conference <https://gcc2017.sciencesconf.org/>
has been extended
to 29 April.
And a reminder of some other GCC2017 <https://gcc2017.sciencesconf.org/>
15 May: Early registration
27 May: Poster presentation abstracts
27 May: Visualization and Computer Demo presentation abstracts
31 May: Regular registration
23 June: Lightning Talk presentation abstracts
GCC2017 will be in Montpellier, France, 26-30 June and will feature two
days of presentations, discussions, poster sessions, lightning talks,
computer demos, keynotes, and birds-of-a-feather meetups, all about
data-intensive biology and the tools that support it. GCC2017 also includes
data and coding hackathons <https://gcc2017.sciencesconf.org/page/hackathon>
and two days of training <https://gcc2017.sched.com/overview/type/Training>
covering 16 different topics.
GCC2017 will be held at Le Corum Conference Centre
in the heart
of Montpellier <https://gcc2017.sciencesconf.org/page/location>
;, just 10km
from the Mediterranean. This event will gather several hundred researchers
addressing diverse questions and facing common challenges in data intensive
life science research. GCC participants work across the tree of life, come
from around the world, and work at universities, research organizations,
industry, medical schools and research hospitals. If you work in or
support data intensive life science research then GCC2017 is an ideal
opportunity to present your work.
Early registration <https://gcc2017.sciencesconf.org/page/registration>
starts at less than 55€ / day for post-docs and students. You can also book
low cost conference housing <https://gcc2017.sciencesconf.org/page/lodging>
when you register.
GCC2017 has sold out *all* premiere *sponsorship*
slots (a first). If you
are interested in sponsoring (or know someone who is) there are still
Silver and Bronze and Hackathon sponsorships available. Contact the
organisers if you are interested.
is an open, web-based platform for
data-intensive biomedical analysis used by tens of thousands of researchers
around the world. It supports ad hoc exploration and analysis through
scalable and repeatable data analysis pipelines for large research studies.
Galaxy is available in over 90 free and publicly accessible web servers, on
commercial and national cloud infrastructures, and is locally installed at
hundreds, if not thousands, of research organisations around the world.
We hope to see you this summer in Montpellier!
The GCC2017 Organising Committee