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10 de abril de 2014

Cloud Services for Projects in Bioinformatics : Technical Considerations and Business. Fernando Barraza Omicsco Universidad de San Buenaventura Cali. 10 de abril de 2014. Agenda. What is a Cloud Computing? Main Architecture of the Cloud and the Bioinformatic Business Aspects

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10 de abril de 2014

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  1. Cloud ServicesforProjectsin Bioinformatics: TechnicalConsiderationsand Business Fernando Barraza Omicsco Universidad de San Buenaventura Cali 10 de abril de 2014

  2. Agenda • Whatis a Cloud Computing? • MainArchitecture of theCloud and theBioinformatic • Business Aspects • A BioinformaticPlatformonthe Cloud • Concernsand Opportunities 10 de abril de 2014

  3. MainArchitecture of the Cloud 10 de abril de 2014

  4. Imagedby Prof. ZHANG Zhang 10 de abril de 2014

  5. Business Aspects • WhereistheMarket? • What are userneeds? • Whatismybusinessmodel? • Who are theplayers? 10 de abril de 2014

  6. BioinformaticsStudies 10 de abril de 2014 Source: Eagle Genomics

  7. How are BioinformaticsStudiesDelivered? 10 de abril de 2014 Source: Eagle Genomics

  8. Perceptionsonbioinformatics Tools 10 de abril de 2014 Source: Eagle Genomics

  9. Cloud Requires Architectural Shift single instance – multi tenancy 10 de abril de 2014

  10. Product vs. Service 10 de abril de 2014

  11. Who are the PaaS players Bitnami Cloud Amazon Elastic Beanstalk 10 de abril de 2014 Slide by SriniKumar, VP MSat

  12. An essential Bioinformatics Cloud Platform Public & Private Online Databases (EMBL, Uniprot, Genomes, etc.) Biomaterial Other Local Databases Databases Bioinformatics and other Tools Browsing Metadata Executing Pipelines (Galaxy, etc) LIMS Searching, Browsing, Annotation (Blast, Clustal, etc.) User Data Files CMS Software Wet Lab Persistent Data Adquisition and Generation Processing, Visualization and Analysis Storage and Management 10 de abril de 2014 Soure: Imaged by Omicsco for Gebix Project

  13. Bioinformatics in Cloud - Maturity Model • Started with small and scripted applications experimenting with Cloud Services • Copy-Paste and Data Files manipulation • Use of predefined Tools and Pipelines • Move to a Hybrid model, where the Cloud Services will integrate with Data Sets in-house • Linked with Public Biological Databases • Enhanced Pipelines • Streamlining of pipelines in a Multi-Instance Environment. • Use of biocomputing ‘appliances’ • Persistent and Large Ubiquitous Storage 10 de abril de 2014

  14. Expectedfeatureson a bioinformaticsappliances • Availability of scientificvalidation of thetoolsthroughpublication/peer review • Computationalefficiency and scalability • Ease of maintenance and installation • Ease of data manipulation/visualization (Do notdiscardcommand-line tool !! ) • Plug & Play forWorkflowPlatforms (APIs and Standard) 10 de abril de 2014

  15. Concerns and Opportunities • Lack of Control, Security and Data Privacy • Service Level Agreements & Standards Compliance • New application model costs/adoption • Data Manipulation still is a pain !! (Web Semantics technologies ?) • Needs for new algorithms to improve performance (big data ?) 10 de abril de 2014

  16. Questions ? 10 de abril de 2014

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