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JMP® Genomics 3.1 Adds new DNA Analysis Tools
Product News

JMP® Genomics 3.1 Adds new DNA Analysis Tools

JMP® Genomics 3.1 Adds new DNA Analysis Tools
Product News

JMP® Genomics 3.1 Adds new DNA Analysis Tools


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JMP® Genomics 3.1, new from SAS, gives scientists important new tools in their quest to understand the causes of human disease. This all-in-one genomics software for the desktop now includes capabilities for analyzing the number of copies of a particular gene or chromosomal region in an individual’s DNA.

In addition to copy number analysis, JMP Genomics 3.1 also includes capabilities for analysis of microarray, SNP and proteomics data sets, as well as 3-D graphics and the ability to distill vital research findings from huge volumes of data for which JMP software is known.

Among the new features and improvements to existing processes in JMP Genomics 3.1 are:

• Copy number import tools for common formats, including Affymetrix Genome-Wide Human SNP Array 5.0 and 6.0, and Illumina BeadStudio output files.

• ANOVA and Bivariate One-Way ANOVA copy number analysis tools for large SNP intensity data sets.

• Affymetrix CHP Expression Wizard.

• NetAffx download capabilities.

• PCA for Population Stratification.

• Interactive Venn diagrams.

• Significantly expanded documentation of individual features.

Although it is classified as an update to JMP Genomics 3.0, JMP Genomics 3.1 includes many new features.

“The work that the JMP Genomics team has put in for 3.1 is nothing short of stunning,” says Shannon Conners, Product Manager for JMP Genomics. “In fact, everyone kept bugging me to name it JMP Genomics 4.0 instead of 3.1 because we have so much that is new and improved.  However, I didn’t think anyone would believe a 4.0 release just five months after a 3.0 release, so…release 3.1 it is.”

JMP Genomics is built on the SAS®9 and JMP 7 platforms. It offers biologists and biostatisticians flexible, menu-driven platforms to access, evaluate, analyze and explore data interactively to discover biologically relevant patterns. This desktop analysis platform is specifically designed to handle the enormous data sets common in genomics research.

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