F06-Cloud-Enabling NGS

C A M P A I G N Chief Development Officer Emory University C A M P A I G N School of Nursing Development Emory University 1520 Clifton Road, NE School of Nursing Development Atlanta, Georgia 30322-4207 1520 Clifton Road, NE P 404.727.1234 Atlanta, Georgia 30322-4207 E adorrill@emory.edu Discovery of human heteroplasmic sites P 404.727.1234 Enabling of human heteroplasmic sites enabled NGS analysis with(out) E adorrill@emory.edu Discovery by an accessible interface to cloud computing infrastructure to enabled by infrastructure the an accessible interface cloud computing infrastructure Enis Afgan, the Galaxy Team,Francesca Chiaromonte Enis Afgan, Hiroki Goto, Ian Paul, Anton Nekrutenko, James Taylor Kateryna Makova, Anton Nekrutenko, James Taylor Enis Afgan, Hiroki Goto, Ian Paul, Francesca Chiaromonte Kateryna Makova, Anton Nekrutenko, James Taylor Bioinformatics Open Source Conference, July 16, 2011, Viennamissions: you are free to blog or live-blog about this presentation as long as you attribute the work to its au

CloudMan-as-a-BridgeA. Users in different labs B. Isolated Galaxy instance(s) C. Dense data center

CloudMan-as-a-BridgeA. Users in different labs B. Isolated Galaxy instance(s) C. Dense data centerSaaS

CloudMan-as-a-BridgeA. Users in different labs B. Isolated Galaxy instance(s) C. Dense data centerSaaS IaaS

CloudMan-as-a-BridgeA. Users in different labs B. Isolated Galaxy instance(s) C. Dense data centerSaaS CloudMan + Galaxy IaaS

CloudMan PlatformA complete solution for instantiating andmanaging cloud resources With automatically conﬁgured Galaxy (if desired) Scope of tools and reference datasets exceed Galaxy MainDeploy a (Galaxy) cluster in minutes!

CloudMan features• Deployment on Amazon Web Services Cloud • Wizard-guided setup: requires no computational expertise, no infrastructure, no software• Automated (thus reproducible) conﬁguration for machine image, tools, and data• Four modes of cluster type setup• Dynamic persistent storage• Elastic resource scaling: manual or automatic based on workload• Standalone deployment, requiring no external dependencies or services• Customizable by individual users• Sharing of derived cluster instances -> even the customized ones!

Deploying a cluster on AWS1.

Deploying a cluster on AWS1. 2.

Deploying a cluster on AWS1. 2. 3.

Deploying a cluster on AWS1. 2. 3. 4.

CloudBioLinux + Galaxy + CloudMan = • A lot of (NGS) tools immediately available and easily accessible • 700GB of reference genome dataBowtie, BWA, Samtools, MAQ, BFAST, ABySS, Velvet,MACS, Tophat, Cuﬄinks, MegaBLAST, BLAST, Sputnik,Taxonomy, HyPhy, Lastz, Perm, GATK, Srma, Beam, Pass,LPS, Plink, Haploview, Freebayes, Mosaik, Picard, ...

But what if your tool (or data) is missing?1. Add it! (via automation) - CloudMan instances are self-contained2. Save & share Add tools - With individual users or make it public Add data

Deployment sharing

Use CloudMan as SaaS Use CloudMan as PaaSIt’s automated, reproducible, extensible, and transparent.

Enis Afgan Dannon Baker Dan Blankenberg Nate Coraor Dave Clements Jeremy Goecks Jennifer Jackson Greg von Kuster Kanwei Li James Taylor Kelly Vincent Anton NekrutenkoSupported by the NHGRI (HG005542, HG004909, HG005133), NSF (DBI-0850103), Penn State University, Emory University, and the Pennsylvania Department of Public Health

F06-Cloud-Enabling NGS

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F06-Cloud-Enabling NGS Presentation Transcript