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• Many Examples
• The Challenge: sustainability
Data
Acquisition &
modelling
Collaboration
and
visualisation
Analysis &
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• The network is fast but …
• The first mile problem
• FedX net.
• Use parallel streams to upload
• Don’t try to move it a...
The Windows Azure for Research program:
·
Free access to Windows Azure cloud computing and storage
(submit proposals for W...
Real-time Catastrophe Risk Management on Windows Azure
Open assembly and analysis of large sequencing data sets
Text minin...
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
Doing Research in the Cloud - NIH Workshop Dennis Gannon
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Doing Research in the Cloud - NIH Workshop Dennis Gannon

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A presentation at the NIH Workshop on Advanced Networking for Data-Intensive Biomedical Research. The talk covers our work with the science community on using cloud computing to enhance and improve basic research for data analysis and scientific discovery

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Doing Research in the Cloud - NIH Workshop Dennis Gannon

  1. 1. 2 2 2. 3 4 a cG a a          
  2. 2. 6 Melbourne Sydney Brazil
  3. 3. • Many Examples • The Challenge: sustainability Data Acquisition & modelling Collaboration and visualisation Analysis & data mining Dissemination & sharing Archiving and preserving
  4. 4. • The network is fast but … • The first mile problem • FedX net. • Use parallel streams to upload • Don’t try to move it all • Manage locality • Keep the hot data local on cloud disk • Manage the working set over time • The rest is archival • Let the data accrue • Stream data directly to the cloud • The Internet of Things = the Internet of Instruments
  5. 5. The Windows Azure for Research program: · Free access to Windows Azure cloud computing and storage (submit proposals for Windows Azure Research Awards) · Windows Azure for Research training classes (20 classes worldwide. ) · Support and technical resources azure4research.com.
  6. 6. Real-time Catastrophe Risk Management on Windows Azure Open assembly and analysis of large sequencing data sets Text mining for identifying disease-gene-biological relationships Bing for Genomes –Genomic Search and Comparison Inference of gene networks studying human cancers on the cloud Using data science approaches to map biologic processes to clinical outcome Cloud Based Drug Discovery for Malaria Towards an interactive secondary analysis of RNA sequencing data service in Widows Azure cloud with Apache Spark framework User-Steering Phylogenetic Workflows in the Cloud the use of the cloud as computational platform for genomic analysis Enabling Data Parallelism for large-scale Biomedical Ontology Matching Analysis and interpretation of human exome sequencing for clinical diagnosis Alzheimer Bio Project Data analysis services for the molecular detection of emerging pathogens Azure-based Text Mining Tools for Genome-wide Association Studies Scalable Protein Sequence Similarity Search for Metagenomics Cloud-based Platform for Genome-scale Prediction of Protein Functional Data Analytics in Bio projects

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