PPT-Human SNPs from short reads in hours using cloud computing

Author : phoebe-click | Published Date : 2015-11-17

Ben Langmead 1 2 Michael C Schatz 2 Jimmy Lin 3 Mihai Pop 2 Steven L Salzberg 2 1 Department of Biostatistics Johns Hopkins Bloomberg School of Public Health

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Human SNPs from short reads in hours using cloud computing: Transcript


Ben Langmead 1 2 Michael C Schatz 2 Jimmy Lin 3 Mihai Pop 2 Steven L Salzberg 2 1 Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA. An In-Depth Discussion. Introductions. Nathaniel Gates – President of Cloud49, Anchorage . AK. Nathaniel Gates is a lifelong Alaskan who understands the unique challenges businesses face operating in the Last Frontier. Nathaniel has worked in multiple industries including petroleum, oilfield services, government contracting and at Alaska Native Corporations. Nathaniel has held nearly every IT position at some time during his career, from desktop support technician to the Chief Information Officer of a billion-dollar corporation. This diversity of duties and experience has uniquely equipped Nathaniel to accurately gauge business requirements and implement appropriate technological solutions for the benefit of the business. . from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . The IT Technology Solution of the . Future. . Presented by: Chris Tryon. Key Considerations. When Making IT Investments. What does my business need and how . can technology . help me meet my goals?. Gil McVean. Department of Statistics, Oxford. What is the 1000 Genomes Project?. A catalogue of . all. types of genetic . variation, including . rare. variants (c. 1% frequency) obtained by sequencing . Dr. Peter DePasquale. The . College of New Jersey. Computer Science. Overview. Introduction to cloud computing. Introduction to Amazon Web Services (AWS). Hands-On portion. Work with your own virtual server (via my AWS account). FAULT-TOLERANT. . DATA STORAGE MANAGEMENT. by. Prince Steve Kamanke. Supervisor : Antoine . Bagula. Mentor : Samson . Akintoye. 1. Brief Recap. Goals & Objectives. The Simulation Model : CloudSim. . Tibana. Carvalho. MSc. . . Student. @ GTA. Introduction. Cloud Computing. Provisioning of computing infrastructure. Move things to the cloud. Emerging area. Potential to transform IT industry. New aspects. 3. rd. Year student at University of Eastern Africa, Baraton (UEAB). Microsoft Student Partner. http://twitter.com/mtotowajirani. http://twitter.com/mtotowajirani. How do we give people access to information and other resources that will enable them . Learning Outcomes. Learning Outcomes. LO2. - Evaluate the deployment models, service models and technological drivers of Cloud Computing and validate their use.. Cloud Deployment models:. Private Cloud. Publish . :. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . :. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . Maddi . Enekoitz. LB1E. . Cloud Computing . sare. batera . konektatua. . dagoen. . serbidore. baten programa eta . zerbitzu. . multzoa. da. Internet . daukan. . edozein. . ordenagailutik. . 1. Heru. . Suhartanto. Faculty of Computer Science, . Universitas. Indonesia. E-mail: . heru@cs.ui.ac.id. Presented at University of YARSI. – General Course – on 27-th April 2011. A revised version of presentation at ICACSIS2010, . Usman Roshan. Department of Computer Science. New Jersey Institute of Technology. Outline. Talk centered around problem of mapping DNA sequences to genome, analysis, and applications. Prediction of chronic lymphocytic leukemia with whole . , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is.

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