Biotech News - New JMP(R) Software for Genomics Applications Integrates Statistical Analysis,

New JMP(R) Software for Genomics Applications Integrates Statistical
Analysis, Graphical Exploration of High-Throughput Data; Desktop
Analysis Helps Scientists Understand Genetics, Microarray,
Proteomics Data

SAS announces the release of JMP(R) Genetics, JMP(R) Microarray, and
JMP(R) Proteomics, three specialized genomics products for desktop
statistical analysis of DNA, RNA and protein data. The suite of
products provides an integrated environment for accessing,
subsetting, analyzing and exploring data patterns that can lead to
the identification of promising new drugs. The new products use JMP
software as a powerful and dynamic data visualization and
statistical analysis desktop client to SAS. More than 85 genomics
processes employ the JMP Scripting Language (JSL) to launch
customizable SAS(R) macro programs in the background, enabling
unparalleled data processing and statistical capabilities.

The suite of genomics products offers proven Design of Experiments
(DOE) tools for creating efficient and unconfounded experiments; a
wide range of input processes for popular genomic instrumentation;
deep and broad statistical methods that optimize tradeoffs between
sensitivity and specificity; and integrated links to many
bioinformatics annotation tools and Web sites.

JMP Genetics provides a rich class of methods for characterizing
genetic variability and evaluating its association with biological
phenotypes such as quantitative traits, chemical response or small
molecule expression. JMP Microarray offers an extensive and flexible
library of statistical capabilities for making transcript abundance
discoveries. JMP Proteomics facilitates the analysis of spectral
data and the identification of biomarkers associated with biological
effects such as disease or adverse events.

Early adopters have used the products since October 2005. "JMP is
the strongest statistical tool I've seen for exploratory data
analysis," said Dr. Jason Osborne, assistant statistics professor at
North Carolina State University. "For example, I can select a subset
of genes that exhibit significant expression across certain
conditions and then examine their behavior in a variety of different
graphs and plots to see if they behave similarly."

Osborne provides statistical support to life scientists worldwide.
With the new genomics products, he can run analyses, save the
sequence as scripts, and ship the scripts and data to researchers
anywhere. They, in turn, can launch the scripts with one mouse
click, rerun the analyses and explore the results on their own or in
collaboration with colleagues.

JMP Genetics, JMP Microarray, and JMP Proteomics are licensed
annually. For more information, visit www.jmp.com.

About SAS

SAS is the leader in business intelligence software and services.
Customers at 40,000 sites, including 96 of the top 100 FORTUNE
Global 500(R) companies, use SAS software to manage and gain
insights from vast amounts of data, resulting in faster, more
accurate business decisions; more profitable relationships with
customers and suppliers; compliance with governmental regulations;
research breakthroughs; and better products. Only SAS offers leading
data integration, intelligence storage, advanced analytics and
traditional business intelligence applications within a
comprehensive enterprise intelligence platform. Since 1976, SAS has
been giving customers around the world The Power to Know(R)

SAS and all other SAS Institute Inc. product or service names are
registered trademarks or trademarks of SAS Institute Inc. in the USA
and other countries. (R) indicates USA registration.

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