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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