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Reflections on Life
Science Data
Infrastructures in Canada
Rome, March 20, 2017
B.F. Francis Ouellette
CSO / VP Scientific Affairs, Génome Québec
Montréal, QC, Canada
francis@genomequebec.com
Disclamers
• I am an employee of Génome Québec, which is
part of the Genome Canada family.
• I do not (and will not) profit in any way, shape or
form, from any of the brands, products or
companies I may mention.
• I am a big proponent of Open Access, Open
Source, Opent Data and Open Courseware
• I am on the SAB of many NIH funded projects
(SGD, Galaxy, GenomeSpace, H3ABionet, and
HMP2), in addition to Elixir.
in Memory of Anna Tramontano
https://goo.gl/UMBW8f
Outline of my Reflections
• The Parameters: “Made in Canada”
• Building a National Bioinformatics Strategy for
Canada
• The Cancer Genome Collaboratory
• Lessons Learned
Funding Landscape in Canada
• 4.5 time-zones, 35 million people, bilingual country, 10 provinces, 3
territories https://en.wikipedia.org/wiki/Canada
• Tri-Council:
• CIHR http://www.cihr-irsc.gc.ca/
• NSERC http://www.nserc-crsng.gc.ca/
• SSHERC http://www.sshrc-crsh.gc.ca/
• Genome Canada (GBC-GAlta-GP-OG-GQ-GAtl) https://www.genomecanada.ca/
• CFI / MSI https://www.innovation.ca/awards/major-science-initiatives-fund
• Compute Canada https://www.computecanada.ca/
• CANARIE https://www.canarie.ca/language/
• Network Centres of Excellence http://www.nce-rce.gc.ca/
• Many provincial funding bodies, with budgets more or less proportional
to their population size.
… and there is
also lots of
DATA to
integrate
• ICGC is in the 10-15 PB
scale
• Healthcare is as well
• Biology is more complex
than particle physics
Why a strategy?
• Genome Canada
• CIHR
• NSERC
• SSHRC
The stakeholders need it
• Life scientist and bioinformatics research communities
• Public and private funding bodies
• Infrastructure providers
• HPC
• Ultra high-speed digital networks
• Alliances working to coordinate research data
• the Canadian population
Why a strategy?
• Genome Canada
• CIHR
• NSERC
• SSHRC
• CFI
• Compute Canada
• CANARIE
• Universities
• Private sector
http://www.elixir-europe.org/
18 years in the making
1999 1st Canadian Bioinformatics Workshop delivered
2000 Genome Canada is created
2001 GC & CIHR host 1st Bioinformatics strategic workshop
2003 completion of 1 human genome project
2011 GC & CIHR host 2nd Bioinformatics strategic workshop
2014 GC & CIHR puts together a strategic plan working group
2016 Strategic plan working group delivers final document
2017 Plan is integrated in some of the partner’s plans, and made public
small expert
steering
committee
SESC
+ community
workshop
SESC
+ stakeholder
workshop
Larger
community
consult
SESC
+ community
workshop
stakeholder &
community
consult
SESC
+ community
workshop
Finished
document
2015
SESC
+ community
workshop
SESC
+ writer >
Strategic
Plan
Strategic Objective 1:
Networking and Coordination
Networking and Coordination
Step 1: Organization a Canadian B/CB meeting.
Step 2: Creation of a Canadian B/CB Society
Step 3: Position the B/CB community for future
funding opportunities
http://www.nce-rce.gc.ca/
Strategic Objective 2:
Strengthening and Sustaining
the B/CB Research Enterprise
Strengthening and Sustaining
the B/CB Research Enterprise
Step 1: Organization of a workshop to bring together the B/CB
researchers funded in the ongoing B/CB-focused initiatives
Step 2: Development of a five-year coordinated plan
among funding agencies and infrastructure providers
Step 3: Development of activities/opportunities to support the
integration of B/CB professionals and hardware providers
into large-scale life sciences projects generating big data
and requiring significant data storage and analysis.
Strategic Objective 3:
Building Capacity
Building Capacity:
Connect, Coordinate and Train
Step 1: The launch of innovative new graduate and postdoctoral
training programs
Step 2: Creation of new training opportunities and salary awards
embedded in ongoing large-scale projects
Step 3: Development and promotion of new opportunities for
undergraduates
Step 4 Support bioinformatics.ca series.
Bioinformatics.ca workshops Content
http://bioinformatics-ca.github.io/
https://goo.gl/CGu13q
https://goo.gl/CGu13q
Cancer Genome
Collaboratory
• Making a sustainable infrastructure for cancer
genome research.
• A place to compute and collaborate on human
cancer genome data in a secure way.
https://www.cancercollaboratory.org/
Cancer Genome Collaboratory
https://goo.gl/nLlVKf
Cancer Genome Collaboratory
https://www.cancercollaboratory.org/
Cancer Genome Collaboratory
https://www.cancercollaboratory.org/
Cancer Genome Collaboratory
https://www.cancercollaboratory.org/
Cancer Genome Collaboratory
https://www.cancercollaboratory.org/about-collaboratory
( ICGC …
https://icgc.org/ http://icgc.org/icgc/media
( ICGC …
• ICGC to collect:
• DNA, RNA, methylomes and
clinical data from 50
different tumour types.
• 500 tumour/normals per
tumour type
• 25,000 (50,000) genomes
• 1:10 (whole genome: exam)
• SNV, CNV, SV, germline
…ICGC)
https://dcc.icgc.org/
Deliverable for PCAWG will include:
• 1st PANCANCER analysis on > 2,800 cancer tumours from a
WGS perspective
• RNA, SSM, CNV, Methylation analysis & germline
• Published (executable) pipelines
• Docker / Dockstore
• Mutiple cloud access to data
• Multiple portal access to data
• Many paper (being written & submitted now!)
PCAWG
Cancer Genome
Collaboratory
Vincent Ferretti https://goo.gl/cSW7bD
Vincent Ferretti https://goo.gl/cSW7bD
http://dockstore.org
PCAWG pipelines on Dockstore
Training available:
https://goo.gl/tGmSYW
Lessons Learned (1/2)
• Be patient
• You need to publish your “stuff”
(“to make publicly or generally known” https://goo.gl/SgSV6R).
• Publish your tools, SOPs, workflows, pipelines.
• Virtualization of services, tools and resources
• Shared APIs
• Good infrastructure is critical, but good data even
more so.
Lessons Learned (2/2)
• Important to establish great tools and databases, but
even more important to maintain them long term.
• Lack of funding in Canada for maintenance of a resource
(database) and the maintenance of a tool (service).
• Training is critical, and you cannot have enough of it. We
all need to do it (every country, every language).
• Long term support
• Do all this, and then tweet about it!
Lessons Learned (2/2)
• Important to establish great tools and databases, but
even more important to maintain them long term.
• Lack of funding in Canada for maintenance of a resource
(database) and the maintenance of a tool (service).
• Training is critical, and you cannot have enough of it. We
all need to do it (every country, every language).
• Long term support
• Do all this, and then tweet about it!
Acknowledgements
B/CB Advisory Committee
Gary Bader, U of Toronto
Robert Beiko, Dalhousie U.
Guillaume Bourque, McGill U.
Fiona Brinkman, SFU
Michael Brudno, U of Toronto
Liz Conibear, UBC
Bill Crosby, U Windsor
Mark Dietrich, Compute Canada
Francis Ouellette, OICR
Peter Wilenius, CANARIE
Cancer Genome Collaboratory
Lincoln Stein, U of Toronto
Guillaume Bourque, McGill U.
Paul Boutros, U of Toronto
Khaled el Emam, U of Ottawa
Vincent Ferretti, OICR
Bartha Knoppers, McGill U.
Francis Ouellette, U of Toronto
Cenk Sahinalp, SFU
Sohrab Shah, UBC
https://goo.gl/3wsGui

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Ouellette elixir 2017

  • 1. Reflections on Life Science Data Infrastructures in Canada Rome, March 20, 2017 B.F. Francis Ouellette CSO / VP Scientific Affairs, Génome Québec Montréal, QC, Canada francis@genomequebec.com
  • 2. Disclamers • I am an employee of Génome Québec, which is part of the Genome Canada family. • I do not (and will not) profit in any way, shape or form, from any of the brands, products or companies I may mention. • I am a big proponent of Open Access, Open Source, Opent Data and Open Courseware • I am on the SAB of many NIH funded projects (SGD, Galaxy, GenomeSpace, H3ABionet, and HMP2), in addition to Elixir.
  • 3. in Memory of Anna Tramontano
  • 5. Outline of my Reflections • The Parameters: “Made in Canada” • Building a National Bioinformatics Strategy for Canada • The Cancer Genome Collaboratory • Lessons Learned
  • 6. Funding Landscape in Canada • 4.5 time-zones, 35 million people, bilingual country, 10 provinces, 3 territories https://en.wikipedia.org/wiki/Canada • Tri-Council: • CIHR http://www.cihr-irsc.gc.ca/ • NSERC http://www.nserc-crsng.gc.ca/ • SSHERC http://www.sshrc-crsh.gc.ca/ • Genome Canada (GBC-GAlta-GP-OG-GQ-GAtl) https://www.genomecanada.ca/ • CFI / MSI https://www.innovation.ca/awards/major-science-initiatives-fund • Compute Canada https://www.computecanada.ca/ • CANARIE https://www.canarie.ca/language/ • Network Centres of Excellence http://www.nce-rce.gc.ca/ • Many provincial funding bodies, with budgets more or less proportional to their population size.
  • 7.
  • 8.
  • 9. … and there is also lots of DATA to integrate • ICGC is in the 10-15 PB scale • Healthcare is as well • Biology is more complex than particle physics
  • 10. Why a strategy? • Genome Canada • CIHR • NSERC • SSHRC
  • 11. The stakeholders need it • Life scientist and bioinformatics research communities • Public and private funding bodies • Infrastructure providers • HPC • Ultra high-speed digital networks • Alliances working to coordinate research data • the Canadian population
  • 12. Why a strategy? • Genome Canada • CIHR • NSERC • SSHRC • CFI • Compute Canada • CANARIE • Universities • Private sector
  • 14. 18 years in the making 1999 1st Canadian Bioinformatics Workshop delivered 2000 Genome Canada is created 2001 GC & CIHR host 1st Bioinformatics strategic workshop 2003 completion of 1 human genome project 2011 GC & CIHR host 2nd Bioinformatics strategic workshop 2014 GC & CIHR puts together a strategic plan working group 2016 Strategic plan working group delivers final document 2017 Plan is integrated in some of the partner’s plans, and made public
  • 15. small expert steering committee SESC + community workshop SESC + stakeholder workshop Larger community consult SESC + community workshop stakeholder & community consult SESC + community workshop Finished document 2015 SESC + community workshop SESC + writer > Strategic Plan
  • 17. Networking and Coordination Step 1: Organization a Canadian B/CB meeting. Step 2: Creation of a Canadian B/CB Society Step 3: Position the B/CB community for future funding opportunities
  • 18.
  • 20. Strategic Objective 2: Strengthening and Sustaining the B/CB Research Enterprise
  • 21. Strengthening and Sustaining the B/CB Research Enterprise Step 1: Organization of a workshop to bring together the B/CB researchers funded in the ongoing B/CB-focused initiatives Step 2: Development of a five-year coordinated plan among funding agencies and infrastructure providers Step 3: Development of activities/opportunities to support the integration of B/CB professionals and hardware providers into large-scale life sciences projects generating big data and requiring significant data storage and analysis.
  • 23. Building Capacity: Connect, Coordinate and Train Step 1: The launch of innovative new graduate and postdoctoral training programs Step 2: Creation of new training opportunities and salary awards embedded in ongoing large-scale projects Step 3: Development and promotion of new opportunities for undergraduates Step 4 Support bioinformatics.ca series.
  • 24.
  • 25.
  • 27. Cancer Genome Collaboratory • Making a sustainable infrastructure for cancer genome research. • A place to compute and collaborate on human cancer genome data in a secure way.
  • 34. ( ICGC … https://icgc.org/ http://icgc.org/icgc/media
  • 35. ( ICGC … • ICGC to collect: • DNA, RNA, methylomes and clinical data from 50 different tumour types. • 500 tumour/normals per tumour type • 25,000 (50,000) genomes • 1:10 (whole genome: exam) • SNV, CNV, SV, germline
  • 36.
  • 38.
  • 39. Deliverable for PCAWG will include: • 1st PANCANCER analysis on > 2,800 cancer tumours from a WGS perspective • RNA, SSM, CNV, Methylation analysis & germline • Published (executable) pipelines • Docker / Dockstore • Mutiple cloud access to data • Multiple portal access to data • Many paper (being written & submitted now!)
  • 40. PCAWG
  • 44.
  • 46. PCAWG pipelines on Dockstore
  • 48. Lessons Learned (1/2) • Be patient • You need to publish your “stuff” (“to make publicly or generally known” https://goo.gl/SgSV6R). • Publish your tools, SOPs, workflows, pipelines. • Virtualization of services, tools and resources • Shared APIs • Good infrastructure is critical, but good data even more so.
  • 49. Lessons Learned (2/2) • Important to establish great tools and databases, but even more important to maintain them long term. • Lack of funding in Canada for maintenance of a resource (database) and the maintenance of a tool (service). • Training is critical, and you cannot have enough of it. We all need to do it (every country, every language). • Long term support • Do all this, and then tweet about it!
  • 50. Lessons Learned (2/2) • Important to establish great tools and databases, but even more important to maintain them long term. • Lack of funding in Canada for maintenance of a resource (database) and the maintenance of a tool (service). • Training is critical, and you cannot have enough of it. We all need to do it (every country, every language). • Long term support • Do all this, and then tweet about it!
  • 51. Acknowledgements B/CB Advisory Committee Gary Bader, U of Toronto Robert Beiko, Dalhousie U. Guillaume Bourque, McGill U. Fiona Brinkman, SFU Michael Brudno, U of Toronto Liz Conibear, UBC Bill Crosby, U Windsor Mark Dietrich, Compute Canada Francis Ouellette, OICR Peter Wilenius, CANARIE Cancer Genome Collaboratory Lincoln Stein, U of Toronto Guillaume Bourque, McGill U. Paul Boutros, U of Toronto Khaled el Emam, U of Ottawa Vincent Ferretti, OICR Bartha Knoppers, McGill U. Francis Ouellette, U of Toronto Cenk Sahinalp, SFU Sohrab Shah, UBC https://goo.gl/3wsGui