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Customer Presentation

    Eagle Genomics
    William Spooner
          CTO
http://aws.amazon.com/solutions/case-studies/unilever
                          “Unilever’s digital data program now processes genetic
                          sequence twenty times faster – without incurring higher
                          compute costs.
                          – Pete Keeley, eScience IT Lead for Cloud, Unilever Research




              Transforming Informatics for Unilever Research
               William Spooner, CTO and Founder, Eagle Genomics


              Introduction to AWS | Cambridge                               30th May 2012


©Eagle Genomics Ltd




                                                      ©Eagle Genomics Ltd
AWS Case Study: Unilever

Anglo/Dutch multinational
Consumer goods
Over 400 brands in 180
countries.
Covers all facets of daily life,
         from food to cleaning
         to health and well-being.
Unilever Research
        Over 6,000 specialists
        In twenty countries

http://aws.amazon.com/solutions/case-studies/unilever
Introduction to AWS | Cambridge        ©Eagle Genomics Ltd   May 30th 2012   3
Technology Partner: Eagle

Babraham-based consultancy
Informatics: life science R&D
Customers in US, Europe, Asia
Operating for 4 years
12 Employees




Introduction to AWS | Cambridge   ©Eagle Genomics Ltd   May 30th 2012   4
The DNA Path
1 mile
10,000 letters
1 gene; BRCA2
        BReast CAncer 2
        Tumor suppressor



                                                © Keith Edkins (CC BY-SA 2.0)


Introduction to AWS | Cambridge   ©Eagle Genomics Ltd                  May 30th 2012   5
The Human
Genome
3,000,000,000 letters
20,000 genes
x10 round the world
First sequence (HGP);
    Released in 2000
    Took 10 years
    Cost $100M
                                             © webdesignhot.com (CC SA 3.0)


Introduction to AWS | Cambridge   ©Eagle Genomics Ltd              May 30th 2012   6
© S. Ballard (CC BY-SA 2.0)




Next Generation DNA
Sequencing (NGS)
Latest figures (2012)
        Takes 12 days
        Costs $10,000
Costs still falling
rapidly




Type footer in here     ©Eagle Genomics Ltd   June 6, 2012                     7
1000 Human
Genomes
200 TB sequence data
       AWS public data set
Data analysis, e.g.
       Fragment assembly




06/06/2012                                         8
                             ©Eagle Genomics Ltd
© T. Harris



HPC at Sanger
Over 10,000 cores
Over 10 PB storage
Supported by a large
team




                                                    © Genome Research Ltd.


Introduction to AWS | Cambridge   ©Eagle Genomics Ltd                 May 30th 2012             9
HPC with AWS
Virtual supercomputer
    50,000 cores
    $5,000/hour
Vs. Hardware cost of:
    ~$15,000,000
Used for Protein
simulation experiment


                        ©Eagle Genomics Ltd
Bacterial diversity: Gingivitis

          Health                                       Shared                                             Gingivitis




                          © David Taylor, Suzi Adams, Unilever Research. Generated using Cytoscape

Sample (healthy site, n=40)
Sample (gingivitis site, n=36)                         Actinobacteria              Proteobacteria
                                                       Bacteriodetes               SR1
                                                       Cyanobacteria               Spirochaetes
OTU coloured by phyla
                                                       Firmicutes                  TM7
OTU size proportional to log
                                                       Fusobacteria                Tenericutes
count
                                                                                   Unclassified
   Introduction to AWS | Cambridge                           ©Eagle Genomics Ltd                  May 30th 2012    11
AWS

                                       sFTP                     Web UI




                                                                                 EC2 instance
 Main data input/output
 Exchange for user access


                                                               Workflow
                                Blackboard
                                                                Server
                                                                         Instances only launched
                                Job fetching and                         on workflow demand/load
S3                              status updating




                   Data input/output
                   storage
                                                                                                elastic



                                                   EC2 instances
                                                                                                          12
                                                   ©Eagle Genomics Ltd
                             © David Taylor, Pete Keeley - Unilever Research
Results of Pilot


June 2011                                                   Jan 2012

10 Studies per Year                                         50 Studies per Year

Runtime – Weeks (realtime)                                  Runtime – Hours (realtime)

1 pipeline                                                  2 pipelines

Run jobs sequentially                                       Run all jobs in parallel

1 UK Lab                                                    6 Global Labs

12 direct users                                             50 direct users

Few Specialists Locally                                     All Biologists Globally


Introduction to AWS | Cambridge                        ©Eagle Genomics Ltd          May 30th 2012   13
                                  © David Taylor, Pete Keeley - Unilever Research
“Unilever’s digital data program now processes genetic
                                                     sequence twenty times faster – without incurring higher
                                                     compute costs.
                                                     “In addition, its robust architecture supports ten times as many
                                                     scientists, all working simultaneously”
                                                     – Pete Keeley, eScience IT Lead for Cloud, Unilever Research




            info@eaglegenomics.com                                                               www.eaglegenomics.com        +44 (0)1223 654481

                                                                                                       @wspoonr
                         facebook.com/eaglegenomics                                                                            blog.eaglegenomics.com
                                                                                                       @eaglegen




 ©Eagle Genomics Ltd




Eagle® is a registered trademark no. 010418135 of Eagle Genomics Ltd.
Postal address: Eagle Genomics Ltd., Babraham Research Campus, Cambridge CB22 3AT, United Kingdom.


                                                                                                        ©Eagle Genomics Ltd

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Customer presentation: Eagle Genomics, Introduction to AWS, Cambridge

  • 1. Customer Presentation Eagle Genomics William Spooner CTO
  • 2. http://aws.amazon.com/solutions/case-studies/unilever “Unilever’s digital data program now processes genetic sequence twenty times faster – without incurring higher compute costs. – Pete Keeley, eScience IT Lead for Cloud, Unilever Research Transforming Informatics for Unilever Research William Spooner, CTO and Founder, Eagle Genomics Introduction to AWS | Cambridge 30th May 2012 ©Eagle Genomics Ltd ©Eagle Genomics Ltd
  • 3. AWS Case Study: Unilever Anglo/Dutch multinational Consumer goods Over 400 brands in 180 countries. Covers all facets of daily life, from food to cleaning to health and well-being. Unilever Research Over 6,000 specialists In twenty countries http://aws.amazon.com/solutions/case-studies/unilever Introduction to AWS | Cambridge ©Eagle Genomics Ltd May 30th 2012 3
  • 4. Technology Partner: Eagle Babraham-based consultancy Informatics: life science R&D Customers in US, Europe, Asia Operating for 4 years 12 Employees Introduction to AWS | Cambridge ©Eagle Genomics Ltd May 30th 2012 4
  • 5. The DNA Path 1 mile 10,000 letters 1 gene; BRCA2 BReast CAncer 2 Tumor suppressor © Keith Edkins (CC BY-SA 2.0) Introduction to AWS | Cambridge ©Eagle Genomics Ltd May 30th 2012 5
  • 6. The Human Genome 3,000,000,000 letters 20,000 genes x10 round the world First sequence (HGP); Released in 2000 Took 10 years Cost $100M © webdesignhot.com (CC SA 3.0) Introduction to AWS | Cambridge ©Eagle Genomics Ltd May 30th 2012 6
  • 7. © S. Ballard (CC BY-SA 2.0) Next Generation DNA Sequencing (NGS) Latest figures (2012) Takes 12 days Costs $10,000 Costs still falling rapidly Type footer in here ©Eagle Genomics Ltd June 6, 2012 7
  • 8. 1000 Human Genomes 200 TB sequence data AWS public data set Data analysis, e.g. Fragment assembly 06/06/2012 8 ©Eagle Genomics Ltd
  • 9. © T. Harris HPC at Sanger Over 10,000 cores Over 10 PB storage Supported by a large team © Genome Research Ltd. Introduction to AWS | Cambridge ©Eagle Genomics Ltd May 30th 2012 9
  • 10. HPC with AWS Virtual supercomputer 50,000 cores $5,000/hour Vs. Hardware cost of: ~$15,000,000 Used for Protein simulation experiment ©Eagle Genomics Ltd
  • 11. Bacterial diversity: Gingivitis Health Shared Gingivitis © David Taylor, Suzi Adams, Unilever Research. Generated using Cytoscape Sample (healthy site, n=40) Sample (gingivitis site, n=36) Actinobacteria Proteobacteria Bacteriodetes SR1 Cyanobacteria Spirochaetes OTU coloured by phyla Firmicutes TM7 OTU size proportional to log Fusobacteria Tenericutes count Unclassified Introduction to AWS | Cambridge ©Eagle Genomics Ltd May 30th 2012 11
  • 12. AWS sFTP Web UI EC2 instance Main data input/output Exchange for user access Workflow Blackboard Server Instances only launched Job fetching and on workflow demand/load S3 status updating Data input/output storage elastic EC2 instances 12 ©Eagle Genomics Ltd © David Taylor, Pete Keeley - Unilever Research
  • 13. Results of Pilot June 2011 Jan 2012 10 Studies per Year 50 Studies per Year Runtime – Weeks (realtime) Runtime – Hours (realtime) 1 pipeline 2 pipelines Run jobs sequentially Run all jobs in parallel 1 UK Lab 6 Global Labs 12 direct users 50 direct users Few Specialists Locally All Biologists Globally Introduction to AWS | Cambridge ©Eagle Genomics Ltd May 30th 2012 13 © David Taylor, Pete Keeley - Unilever Research
  • 14. “Unilever’s digital data program now processes genetic sequence twenty times faster – without incurring higher compute costs. “In addition, its robust architecture supports ten times as many scientists, all working simultaneously” – Pete Keeley, eScience IT Lead for Cloud, Unilever Research info@eaglegenomics.com www.eaglegenomics.com +44 (0)1223 654481 @wspoonr facebook.com/eaglegenomics blog.eaglegenomics.com @eaglegen ©Eagle Genomics Ltd Eagle® is a registered trademark no. 010418135 of Eagle Genomics Ltd. Postal address: Eagle Genomics Ltd., Babraham Research Campus, Cambridge CB22 3AT, United Kingdom. ©Eagle Genomics Ltd