| NIMBioS Tutorial: Computing in the Cloud | |
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United States - TN - Knoxville |
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| Hosted by: | National Institute for Mathematical and Biological Synthesis (NIMBioS) |
| Venue: | National Institute for Mathematical and Biological Synthesis (NIMBioS) at the Univ. of Tennessee |
| Dates: | Apr 06, 2014 through Apr 08, 2014 |
| Early Registration Deadline: | 2014-01-26 |
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Description |
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| Objectives: This workshop will bring together a diverse set of computational biologists and modelers who want to expand their expertise and learn how to harness big data and computation using the R language. A wide range of HPC/Cluster/Cloud computing resources exist and are accessible to researchers, such as Amazon EC2, NSF XSEDE, local clusters, and simple multiprocessor shared memory machines. Participants will learn about the strengths and weaknesses of the various platforms and how to enable R to utilize them. The strengths and limitations of R for big data and big computation will also be discussed. Moving beyond these basics, further sessions will provide participants with hands on experience in the following areas: Learn about the packages, tools, and data structures that are available in R for computing on HPC resources Understand tools such as Rcpp that allow R to easily interface with compiled code for improved performance Handle big matrix computations with the pbdR packages Produce elegant, publication quality graphics with the ggplot2 package In addition to the fundamentals, the workshop will give attendees a perspective on how these tools can be put to use in biological research. Tutorial examples will include applications such as Bayesian mixed models in genomics, phylogenetic biogeography, approximate Bayesian computation, and multivariate data reduction in ecological models. Finally, a special session on teaching with R will provide insights on how to bring computational science research into the undergraduate classroom. This hands-on workshop will give participants an opportunity to begin applying these tools to their own problems. Presentations and sample codes will be available for all tutorial sessions. Attendees will also have time to consult with presenters and platform experts to identify the right tools for their problems. Participants should have a solid working knowledge of the R language. Experience with a lower level programming language (C, C++, Fortran) will also be beneficial but is not required. Location: NIMBioS at the University of Tennessee, Knoxville Co-Organizers: Russell Zaretzki, Statistics, Univ. of Tennessee; Michael Gilchrist, Ecology & Evolutionary Biology, Univ. of Tennessee; Eric Carr, NIMBioS, Univ. of Tennessee; George Ostrouchov, Oak Ridge National Laboratory, National Institute for Computational Sciences, and Univ. of Tennessee; and Brian O’Meara, Ecology & Evolutionary Biology, Univ. of Tennessee For more information about the tutorial and a link to the online application form, go to http://www.nimbios.org/tutorials/TT_cloud There are no fees associated with this tutorial. Tutorial participation in the tutorial is by application only. Individuals with a strong interest in the topic, including post-docs and graduate students, are encouraged to apply, and successful applicants will be notified within two weeks of the application deadline. If needed, financial support for travel, meals, and lodging is available for tutorial attendees. Application deadline: January 26, 2014 The National Institute for Mathematical and Biological Synthesis (NIMBioS) (http://www.nimbios.org) brings together researchers from around the world to collaborate across disciplinary boundaries to investigate solutions to basic and applied problems in the life sciences. NIMBioS is sponsored by the National Science Foundation, the U.S. Department of Homeland Security, and the U.S. Department of Agriculture with additional support from The University of Tennessee, Knoxville. |
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| Additional Information | |
| Event URL: | http://www.nimbios.org/tutorials/TT_cloud |
| ISCB Member Discount: | None |
| Contact Person: | Catherine Crawley ([javascript protected email address]) |
While ISCB provides for conference and event listings that may be of interest to members and bioinformaticians at large, ISCB is not responsible for the content provided by outside sources. Such listings are not meant as an endorsement by ISCB.
