Name: Galaxy-E : Towards an accessible, reproducible and transparent data analysis and management universe dedicated to Ecology
Start: 2017-06-29T17:36:00+0200
End: 2017-06-29T17:42:00+0200

The 2017 Galaxy Community Conference (GCC2017) is being held in Montpellier, France, 26-30 June. GCC2017 will include keynotes and accepted talks, poster sessions, demos, birds-of-a-feather meetups, exhibitors, and plenty of networking opportunities. There will also be 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.

The full printed program is also available.

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Galaxy-E : Towards an accessible, reproducible and transparent data analysis and management universe dedicated to Ecology

➔ Slides

Authors
Valentin Chambon, Thimothée Virgoulay, Eloïse Trigodet, Marie Delannoy, Marianne Linares, Grégoire Loïs, Romain Julliard, Yvan Le Bras 1, *

1 : MNHN CESCO & Staiton de Biologie Marine de Concarneau, Muséum National d'Histoire Naturelle (MNHN)
* : Corresponding author

Abstract
Reproduce and compare process' results is the base of all science fields. Have access to the workflow should be the easiest things to do when you want to reproduce analysis from papers. But today it's one of the most critical point in science's domains. If things are going better in Geographical Information System (GIS) related domains thanks to initiatives like INSPIRE directive or Bioinformatics, due notably to community efforts, state in Ecology is still in a critical situation.

Many points can be related ; macro-ecology is too changing from a case to another. Regular workflow do not exist, as in omics data analysis. Furthermore after data pre-processing steps, you need to draw quick models to optimize your workflow, so it can't be automatized easily.
In the scope of the “65 Millions observers” a French national project, we are directly confronted to these issues. We have to implement a national collaborative web platform dedicated to macro-ecological data access and analysis. We aim to facilitate and enhance participation to citizen science projects.
We assume that Galaxy is adapted to our problem. Recent evolution of Galaxy allowing us to dream, especially “interactive environment” functionality. Moreover, macro-ecologists are not really working directly on databases but from database extraction files (csv, tabular flat files), and some bioinformaticians seem to be ready to work as ecoinformaticians. This paves the way to the emergence of a Galaxy-E universe, with dedicated tools and communities.

Presenters