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Bio-IT World Asia Conference 2013 A Genomics Virtual Lab for Cancer Research Dominique Gorse.

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Presentation on theme: "Bio-IT World Asia Conference 2013 A Genomics Virtual Lab for Cancer Research Dominique Gorse."— Presentation transcript:

1 Bio-IT World Asia Conference 2013 A Genomics Virtual Lab for Cancer Research Dominique Gorse

2 :: Introduction :: APGI http://www.pancreaticcancer.net.au/

3 Australian National Data Service Established 2008 with $72M funding from the federal government Aim: “ANDS' task is to create the infrastructure to enable Australian researchers to easily publish, discover, access and use research data.” “ANDS is building the Australian Research Data Commons (RDA): a cohesive collection of research resources from all research institutions, to make better use of Australia's research outputs.” http://www.ands.org.au/index.html :: Introduction :: ANDS

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5 Aims Through the Genomics Virtual Lab – Integrate Cancer research data – Develop reusable workflows to assist in accelerating research – Reduce time from research  publication – Deliver value to “research champions” Will develop software that will enable researchers to access, integrate and transform unique and valuable cancer genomics datasets and to analyse them using the power of the Australian Genomics Virtual Lab :: Cancer Genomics Linkage Project ::

6 Project Scope Develop functionality to “publish” GVL workflows to the RDA Provide software/infrastructure to enable integration/transformation of multiple datasets within the GVL environment :: Cancer Genomics Linkage Project ::

7 UCSC Genome Browser 1- Data synchronisation ICGC repositories GVL 2 - Data integration Input Collection Service description Output Collection 3 - Development of Galaxy workflows enabling data integration and re-use 4. Publish to RDA DOI creation for Galaxy Workflows Galaxy :: Cancer Genomics Linkage Project ::

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9 9 BioMAJ

10 10 Detailed RIF-CS for datasets

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16 Detailed RIF-CS for workflows

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22 http://ap27-cgla.blogspot.com.au/ :: Cancer Genomics Linkage Project ::

23 Project Features 1.Tools QCMG’s QProfiler QCMG’s QBamFilter QCMG’s QSNP Ensembl Variant Effector Predictor 2.Mirrored Data ICGC Public dataset Trio from the 1000 genome project dbSNP Drugbank 3.Workflows QCMG workflow Variant detection RNAseq (VLSCI) :: Project Examples ::

24 24 ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super Science Initiative :: Acknowledgement:: This project is supported by the Australian National Data Service The cancer genomics tools integrated in this application are developed by QCMG at the IMB, University of Queensland

25 :: APGI Funding::

26 www.qfab.org :: The QFAB Scrum Development Team::

27 :: Scrum Product Owners:: Dr Mark Cowley Senior Research Officer Garvan Institute Dr John Pearson Senior Bioinformatics Manager QCMG - IMB Dr Mingfang Wu Senior Business Analyst ANDS Dr Jeff Christiansen Senior Business Analyst


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