Going beyond grid to enable life science data analysis

Life sciences are rapidly transitioning towards the new era of Big Data, where data, algorithms and knowledge are becoming increasingly available for all. Ever since 2007, when sequencers began giving flurries of data, life sciences have been steadily moving towards this ‘Forth Paradigm’, i.e. the analysis of massive data sets. EGI has been a key factor to this transition, and is yet to play a critical role in the shape of research within the context of life sciences.

However, it is evident that, beside the development of new applications and the improvement of the existing ones, the life sciences and ICT communities need to capitalize on their synergies to strengthen the border disciplines. To this end, we will host a thorough discussion of the expected trends, applications and needs of the communities at the upcoming EGI Community forum in Helsinki. This will take place in the form of a dedicated workshop and networking session, aptly named “Going beyond grid to enable life science data analysis”. Going beyond the traditional concept of a workshop and showcasing the role of e-infrastructures and networking platforms, our aim is to promote a discussion and set up a brainstorming environment between the two communities towards concrete collaborations and sustainable synergies.

The workshop will include invited speakers both from key life science infrastructures (such as ELIXIR, BioMedBridges and LifeWatch among others), but also from high profile research groups (such as EBI, CNRS and CSC among others). This will provide participants with a clear overview of the current state-of-the-art in life sciences’ infrastructures, and help identify future paths and outline critical collaborations.

This discussion phase will expand from the workshop to a dedicated networking session. The aim is to provide clear proposals for possible collaborations and suggestions for future EGI actions.

 

Workshop URL: https://indico.egi.eu/indico/sessionDisplay.py?sessionId=10&confId=1994#20140520

Networking UL: https://indico.egi.eu/indico/contributionDisplay.py?contribId=4&confId=1994