1. Cloud infrastructure for training in Life Sciences Manuel Corpas The Genome Analysis Centre

2. [egi.edu] The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

3. The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

6. Bottleneck is NOT Production of data Technology Budget The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

7. Bottleneck IS TRAINING! The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

8. Bottleneck IS TRAINING! – Bioinformatics The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

9. Bioinformatics Training The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

10. Mick Watson Roslin Institute The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

11. 1.Most bioinformaticians are bad scientists The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

12. 1.Most bioinformaticians are bad scientists 2.Most biologists are bad bioinformaticians: poor computer skills, bad at maths/statistics The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

13. 1.Most bioinformaticians are bad scientists 2.Most biologists are bad bioinformaticians: poor computer skills, bad at maths/statistics 3.Short courses benefit no-one The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

14. Carole Goble University of Manchester The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

15. Students and trainers don’t like learning how to use new things The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

16. Students and trainers don’t like learning how to use new things Trainees need to be eased in by using familiar stuff The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

17. How can we bridge the gap? The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

18. Bioinformatics Learning Tools iPython (analytics learning) Sanbox resources (galaxy instance with data) Repository of training machines Suite of VMs

19. Titus Brown Michigan State University The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

20. 1.Participants bring their laptops The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

21. 1.Participants bring their laptops 2.Pre installed machines The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

22. 1.Participants bring their laptops 2.Pre installed machines 3.Cloud computing The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

23. Cloud + Bioinformatics + Training = The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

24. Why Bioinformatics Training in the Cloud? The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

25. 3 Advantages The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas [Adapted from Titus Brown]

26. 1.Participants can use own – Computers – Web browser 2.Graphical interaction via – X Windowes – IPython – Knitr 3.Compute can be scaled up/down depending on what it’s being taught The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

27. 1.Participants can use own – Computers – Web browser 2.Graphical interaction via – X Windows – IPython – Knitr 3.Compute can be scaled up/down depending on what it’s being taught The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

28. 1.Participants can use own – Computers – Web browser 2.Graphical interaction via – X Windowes – IPython – Knitr 3.Compute can be scaled up/down depending on what it’s being taught The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

29. 3 Challenges The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas [Adapted from Titus Brown]

30. 1.Institutional resistance – Privacy of clinically sensitive data 2.Reliable network access and servers needed – > 30 people clicking at the same time! 3.Cost The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

31. 1.Institutional resistance – Privacy of clinically sensitive data 2.Reliable network access and servers needed – > 30 people clicking at the same time! 3.Cost The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

32. 1.Institutional resistance – Privacy of clinically sensitive data 2.Reliable network access and servers needed – > 30 people clicking at the same time! 3.Cost The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

33. NM Trainee Trainer Registry The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas National eResearch Collaboration Tools and Resources (NeCTAR) Watson-Haigh et al. 2013

34. MRC UK Microbial Genomics http://climb.ac.uk Open Stack Each VM 32Gb RAM, 8 cores, 1Tb Biolinux The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas Nick Loman, University of Birmingham

35. Why Cloud? Very little technical knowledge required Snapshot ready for replication User can take instance home The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

36. Cloud + Bioinformatics + Training = The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas

37. The Genome Analysis Centre The Genome Analysis Centre@manuelcorpas Rafael Jiménez rafael@elixir-europe.org Titus Brown Mick Watson Carole Goble Nick Loman Vicky Schneider