See exactly what your genomics data is trying to tell you.
With JMP Genomics, you can.
This unique desktop product from SAS dynamically links powerful statistical analysis with advanced graphics to provide a complete and comprehensive picture of your research results.
With more than 100 analytic procedures, JMP Genomics meets all your research needs, whether you’re working in genetics, microarrays or proteomics. As your studies expand to new areas, you can explore new data in a familiar environment – without buying new software.
JMP Genomics brings to every task the full power of the JMP statistical discovery platform, enhanced with industry-leading SAS analytics tailored for heavy-duty processing of genomics data sets. Our menu-driven system simplifies workflow throughout the process, and JMP data visualization capabilities translate results into interactive graphical displays at the end.
JMP Genomics facilitates the systematic identification of statistically significant data by offering:
Whole-genome SNP analysis on very large data sets.
Powerful, deep and broad statistical models that improve specificity, sensitivity and stability of results.
Efficient clustering tools that help scientists identify the biological pathways affected by treatment or disease.
Proven design of experiment (DOE) tools for creating the most efficient experiments.
Quality control tools that remove poor data from analyses.
Dialogs that employ JMP Scripting Language (JSL) to launch SAS macros in the background.
More than 100 analytic processes are accessible through the JMP Genomics menu, including:
Custom input processes for a variety of popular genomic data formats.
Routines for building experimental design files.
A rich collection of SAS data set utility routines for both tall and wide data sets.
Genetic marker processes for basic statistics, association testing, model-free linkage, and haplotype analysis.
Spectral preprocessing routines for both 2-D and 3-D spectral data.
Processes for normalization, quality control, pattern discovery, row-by-row modeling, and predictive modeling.
Annotation analysis and links to a wide variety of genomics Web sites.
Power and sample size calculations.
The system is customizable and extendable, and it includes an extensive programmer’s guide detailing how to add your own processes. Processes can invoke other packages like R Bioconductor. A full-featured XML syntax is available for automatically generating graphical user interface dialogs.
Affymetrix and GeneChip are registered trademarks owned or used by Affymetrix, Inc. GeneChip-compatible is a trademark owned or used by Affymetrix, Inc.
