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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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slide1

Cloud ServicesforProjectsin Bioinformatics: TechnicalConsiderationsand Business

Fernando Barraza

Omicsco

Universidad de San Buenaventura Cali

10 de abril de 2014

agenda
Agenda
  • Whatis a Cloud Computing?
  • MainArchitecture of theCloud and theBioinformatic
  • Business Aspects
  • A BioinformaticPlatformonthe Cloud
  • Concernsand Opportunities

10 de abril de 2014

slide4

Imagedby Prof. ZHANG Zhang

10 de abril de 2014

business aspects
Business Aspects
  • WhereistheMarket?
  • What are userneeds?
  • Whatismybusinessmodel?
  • Who are theplayers?

10 de abril de 2014

bioinformatics studies
BioinformaticsStudies

10 de abril de 2014

Source: Eagle Genomics

how are bioinformatics studies delivered
How are BioinformaticsStudiesDelivered?

10 de abril de 2014

Source: Eagle Genomics

perceptions on bioinformatics tools
Perceptionsonbioinformatics Tools

10 de abril de 2014

Source: Eagle Genomics

cloud requires architectural shift
Cloud Requires Architectural Shift

single instance – multi tenancy

10 de abril de 2014

product vs service
Product vs. Service

10 de abril de 2014

who are the paas players
Who are the PaaS players

Bitnami Cloud

Amazon Elastic Beanstalk

10 de abril de 2014

Slide by SriniKumar, VP MSat

an essential bioinformatics cloud platform
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

bioinformatics in cloud maturity model
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

expected features on a bioinformatics appliances
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

concerns and opportunities
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

questions
Questions ?

10 de abril de 2014