NEW HAVEN, Conn., July 25 /PRNewswire/ -- REvolution Computing will lead a hands-on demonstration of the company's parallelR product at the upcoming BioC 2008 conference in Seattle. Instructors for the tutorial will include REvolution Computing Director of Community, Dr. David Henderson, Kellie Wills, REvolution Computing Training Manager, and Martin Morgan of the Fred Hutchinson Cancer Research Center. REvolution Computing's BioC lab will introduce participants to the parallelR computing environment, demonstrate its use, and provide hands-on examples of how to perform some tasks in Bioconductor using NetWorkSpaces (NWS), the technology behind parallelR. The lab will be offered in the afternoon tutorial sessions on Tuesday, July 29, 2008.
The BioC conference highlights current developments in Bioconductor, an international open source software project for the analysis and comprehension of genomic and proteomic data. The Bioconductor Project aims to provide a community in which to design and create software packages for analyzing data arising in biology with a focus on genomic and proteomic data.
For more information about the BioC Conference, please visit https://secure.bioconductor.org/BioC2008/.
For more information about the Bioconductor Project, please visit http://www.bioconductor.org.
For more information about REvolution Computing, please visit http://www.revolution-computing.com.
About REvolution Computing
New Haven, Connecticut-based REvolution Computing is the leading commercial provider of software and support for the statistical computing language known as "R." Our products enable statisticians, scientists and others to derive meaning from large sets of mission-critical data in record time, and to create predictive models that help to answer their most difficult questions. REvolution Computing works closely with the R community to incorporate the latest developments in open source R, and with our clients to support their efforts to produce groundbreaking innovations in life sciences, financial services, defense technology and other industries where high-level analytics are crucial to success. At REvolution Computing, "we do the math."
|SOURCE REvolution Computing|
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