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Can Grids Deliver the Vision for Future Hypothesis Driven Life Science Research? Professor Richard Sinnott Technical Director National e-Science Centre.

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Presentation on theme: "Can Grids Deliver the Vision for Future Hypothesis Driven Life Science Research? Professor Richard Sinnott Technical Director National e-Science Centre."— Presentation transcript:

1 Can Grids Deliver the Vision for Future Hypothesis Driven Life Science Research? Professor Richard Sinnott Technical Director National e-Science Centre University of Glasgow 9 th May 2006

2 sensor nets Shared data archives computers software colleagues instruments Grid Grids and e-Research Classical characteristics –HPC, data deluge, … More recent push –Security, virtual organisations, usability, …

3 E-Health Future Drivers The big questions –Why do people who eat less tend to live longer? –Is there a genetic reason why Scotland has such a high incident rate of cardiovascular disease? How significant are social, cultural, occupational factors in this? –…–… Tailored e-Heath –Wouldn't it be wonderful to know what measures you could take to stave off/prevent the onset of disease? –Wouldn't it be a relief to know that you are not allergic to the drugs your doctor just prescribed? –Wouldn't it be a comfort to know that the treatment regimen you are undergoing has a good chance of success because it was designed just for you?

4 The Big Picture… Nucleotide sequences Nucleotide structures Gene expressions Protein Structures Protein functions Protein-protein interaction (pathways) Cell Cell signalling Tissues Organs PhysiologyOrganisms Populations GRID SECURITY Epidemiology +social, lifestyle, occupational, environmental, …

5 Cambridge Newcastle Edinburgh Oxford Glasgow Manchester Cardiff Southampton London Belfast Daresbury Lab RAL Hinxton NeSC in the UK NeSC Core National Grid Service White Rose Grid HPC(x ) CSA R Challenges/ Opportunities ? The next Grid software There are still issues to be resolved –OGSA definition and delivery Standards OGSI, WSRF, … Technologies GT2, GT3, GT4, EGEE, OMII… –What about the science drivers What data sets, what services, accessed by whom, … –Longevity of systems…? –If I build a Grid infrastructure for you, do you promise not to change your requirements (completely!)

6 Grid Projects & Experiences

7 BRIDGES Project Synteny Service Information Integrator OGSA-DAI Magna Vista Service VO Authorisation blast ++ +

8 www.nesc.ac.uk MagnaVista

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13 BRIDGES Security Used PERMIS (www.permis.org) to provide fine grained security (authorisation) –XML based policies digitally signed (tamperproof) and used to make authorisation decisions when users invoke services (XACML based policies coming…) –Use SAML callouts to transparently link Grid service and policies Data Policies –Only members of CFG can access all public and local warehoused data –Other guest users can only access remote genome databases Security at DB level! Computational Policies –CFG members can run BLAST across NGS, Glasgow clusters and Condor pools –Guest users only get access to the Condor pool Users do not need their own X.509 certificates – all hidden behind portal!

14 BRIDGES data Originally planned that would have many different types of data with different security requirements –Public data: data from public sources –Processed public data: public data that has additional annotation or indexing to support the analyses needed by CFG –Sensitive data: data about individuals in the cohorts of patients and the data derived from animal experiments –Special experimental data: such as quantitative trait loci (QTL) or microarray data –Personal research data: data specific to a researcher as a result of experiments or analyses that that researcher is performing –Team research data: data shared by the team members at a site –Consortium research data: data produced by one site or a combination of sites that is now available for the whole consortium –Personalisation data: metadata collected and used by the bioinformatics tools pertinent to individual users …but scientists reluctant to share their data!

15 JDSS Project Public data resources openness –Often cannot query directly nor easy/possible to find schemas (and they change… often!) –Joint Data Standards Study investigated this Funded by MRC, BBSRC, Wellcome Trust, JISC, NERC, DTI and involved –Digital Archiving Consultancy –NeSC (Edinburgh and Glasgow) –Bioinformatics Research Centre (Glasgow) Looked at technical, political, social, ethical etc issues involved in accessing and using public life science resources Final report completed September 2005 and available at: –www.mrc.ac.uk/prn/pdf-jdss_final_report.pdf »(to also appear as a NeSC technical report)

16 Grid Enabled Microarray Expression Profile Search (GEMEPS) 1 year project (just) started 1 st March 2006 –Funded by BBSRC Involves Glasgow, Cornell University, US, Riken Institute, Japan –Aim to provide tools for discovery, comparison and analysis of microarray data sets How does my data compare to others? How do these experiments compare? Can we improve the way we establish how genes in different species are linked? … –Microarrays expensive and contain potentially important (valuable) data sets –Fine grained security essential (and willingness of researchers to collaborate)!

17 Grid Enabled Microarray Expression Profile Search (GEMEPS) Why bother…? –Major journals require experimental data to be published –Minimal Information About a Microarray Experiment (MIAME) standard Does not provide sufficient information for scientist to repeat experiment, to compare results, … –Scientists often unwilling to spend time to provide additional meta-data …experiences from BRIDGES –Scientists also now questioning sensitivity of microarray data results Gene names and expression values vs ordering of gene expression values Initial prototypes support both of these but issues of gene naming –entrez, unigene, go, … –Work on searching/mining of public repositories on-going including GEO, arrayExpress, …

18 GEODE –Funded by ESRC lead by University of Stirling with NeSC Glasgow Two year project aiming to develop Grid enabled portal for occupational data –includes integration of various existing classification scheme –Many occupational classification schemes exist Used by different researchers/sociologists –Linkage to national and international census data sets –When is a plumber not a plumber? –When they are a water transport technician…? How many plumbers had a heart attack in Scotland in the last 2 years? Grid Enabled Occupational Data Environment (GEODE)

19 VOTES Virtual Organisations for Trials and Epidemiological Studies –3 year MRC (£2.8M) funded project expected to start imminently –Plans to develop Grid infrastructure to address key components of clinical trial/observational study Recruitment of potentially eligible participants Data collection during the study Study administration and coordination –Involves Glasgow, Oxford, Leicester, Nottingham, Manchester –Prototypes available now building on SCIStore, GPASS, consent DB, existing trials repositories

20 Distributed Data Framework OGSA-DAI Service Globus Container Portal Grid ServerData Server Driving DB SCI Store 2 (SQL Server) SCI Store 1 (SQL Server) Consent DB (Oracle 10g) RCB Test Trials DB (SQL Server) User Authentication Glasgow Other Transfer Grid Nodes Remote Trust Policies Authorisation Access Matrix Security Policies Access Security Policies Local Trust Policies Local Trust Policies Local Trust Policies OGSA-DAI Service Globus Container Grid ServerData Server Driving DB SCI Store 2 (SQL Server) SCI Store 1 (SQL Server) Consent DB (Oracle 10g) RCB Test Trials DB (SQL Server) Glasgow Other Transfer Grid Nodes Remote Trust Policies Authorisation Access Matrix Security Policies Access Security Policies Access Security Policies Local Trust Policies Local Trust Policies Local Trust Policies GPASS Local Trust Policies Local Trust Policies

21 VOTES Data Federation Portal Beta Prototype

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26 Generation Scotland Scottish Family Health Study Five (2+3) year proposal (£4.6M) started January 2006 –Funded by Health Department and Department for Enterprise and Lifelong Learning Involves Glasgow, Dundee, Edinburgh, Aberdeen –focus of genetics as applied to healthcare –first two years emphasis on providing a platform for research into the genetic basis of common complex diseases in Scotland »Mental health, cardiovascular, … »Plan to establish 15,000 family-based intensively-phenotyped cohort recruited from the East and West of Scotland –basis for neutralising heritable (genetic) risk factors in disease surveillance, treatment optimisation, avoidance of adverse drug events and prediction of response to therapy, health care planning and drug discovery, … –Recruitment process has started already!

27 GLASS –JISC funded started January 2006 Exploring early adoption of Shibboleth –Working with Computer Services directly Scenarios based upon teaching and access to NHS resources/data Builds upon university wide unified account management system being rolled out (based on Novell nSure technology) ESP-Grid –JISC/Oxford University funded Developing demonstrator to show how Grid resources can be accessed and used via Shibboleth technology –Initial prototypes already available Grid Security Report –JISC/JCSR funded Focus on Grid security practices, middleware and outlook –Contact me if want a copy! Security Related Projects

28 DyVOSE Project PERMIS based Authorisation checks/decisions Glasgow Education VO policies GlasgowEdinburgh Condor pool Grid BLAST Data Service Nucleotide + Protein Sequence DB Grid-data Client Grid BLAST Service Edinburgh Education VO policies LDAP Implemented by Students Protein/nucleotide sequence data returned based on student team and Edinburgh policy data input Job scheduling/ data management Glasgow SoA using Edinburgh DIS Create new ACs for Glasgow users/roles

29 Future The Grid is not a magic wand –Your data quality issues won’t go away –We can however identify what these are SCIStore schema incompatibilities Ethics and legal aspects essential –Working closely with NHS Consent crucial –Scenarios now implemented looking at patient consent via GPASS

30 The Future… Nucleotide sequences Nucleotide structures Gene expressions Protein Structures Protein functions Protein-protein interaction (pathways) Cell Cell signalling Tissues Organs PhysiologyOrganisms Populations GRID + Security

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