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Life Science Applications
REvolution R is a language optimized for statistics and graphics. R is the language of the cutting edge and the obvious choice for custom statistical models. REvolution R is the optimized, validated, and supported distribution.
The bioinformatics was among the first to widely adopt R. From bioinformatics R spread into pharmacometrics and biostatistics. You will find REvolution R:
Bioinformatics The R language dominates the bioinformatics field.
REvolution’s performance extensions are particularly interesting here. Please examine our ParallelR which enables multiprocessors and clusters. Many of the parallel libraries that we ship along with ParalleR were developed specifically for bioinformatics.
In 2009 we plan to ship a new extension to REvolution R which allows R programs to manipulate statistical data larger than your computer's available memory. This "Big Data" extension is under development at the request of our bioinformatics customers. Pharmacometrics & Biostatistics REvolution R offers all of the "canned" statistical methods provided within legacy, proprietary statistics programs. Beyond that, R provides a richer environment for graphics.
Validated Analysis of Clinical Trials REvolution Computing applies an extensive testing and build process for all products within a controlled, documented, software development lifecycle. If you're looking to use R for the analysis of clinical trials, consider Revolution R Enterprise for the stability and long-term support you'll require. Read more about running REvolution R Enterprise in a validated environment.
In addition, REvolution stands prepared to help you through any validation requirements imposed by regulatory bodies. Downloads High-Performance REvolution R Enterprise and Windows HPC Server for Life Sciences datasheet [PDF]
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