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JMP® Genomics 3.2 Enhances Data Discoveries
Product News

JMP® Genomics 3.2 Enhances Data Discoveries

JMP® Genomics 3.2 Enhances Data Discoveries
Product News

JMP® Genomics 3.2 Enhances Data Discoveries

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JMP Genomics 3.2, now available from SAS, streamlines analysis workflows for expression, exon, copy number and genotype data.

Building on the powerful analytic and visualization capabilities of the SAS®9 and JMP 7 platforms, the latest release of this comprehensive desktop genomics package also simplifies integration with partner technologies.

“I have been using JMP Genomics since its inception and am continually amazed by the growth in its capacity,” said Dr. Greg Gibson, Professor of Integrative Genomics at the University of Queensland in Brisbane, Australia.

“At a time when data sets are getting ever larger and more complex and the need for flexibility in statistical algorithms increases daily, the JMP team has kept pace and produced a product that is affordable and trustworthy. We are finding it indispensable.”

Gibson and several of his students have used JMP Genomics in their research projects, including a newly published paper which appeared in the April issue of PLoS Genetics.

JMP Genomics 3.2 includes many new features and enhancements to existing processes. These include:

• New Basic Workflows present simplified interfaces for getting started with typical analysis of genetics, copy number and expression data.

• New support for importing copy number CHP files from Affymetrix Genotyping Console.

• An implementation based on SAS of the popular GCRMA normalization method for expression CEL files.

• Significant enhancements to genetics processes that greatly reduce the time required to filter and analyze genotype data. • Greatly enhanced options for importing expression data from Illumina BeadStudio software.

JMP Genomics delivers to the desktop the graphical and analytic capabilities required by scientists working with large genomics data sets. It provides biologists and biostatisticians with flexible, menu-driven platforms to access, evaluate, analyze and explore data interactively to discover biologically relevant patterns.