About JMP Genomics
What is it?
JMP® Genomics software from SAS Analytics brings high-powered, sophisticated genomic data exploration and analysis to the desktop. Designed to help research scientists and biostatisticians understand data generated from genetics, expression or exon microarray and proteomics studies, JMP Genomics dynamically links advanced statistics with graphics to provide a complete and comprehensive picture of your research results.
How can I use it?
Note: This software is only licensed for academic teaching, learning, and research. UK's license does not cover use of this application for other purposes, including university business (retention, internal statisics, etc).
The unique pedigree of JMP Genomics combines dynamically interactive JMP graphics and robust SAS® Analytics, so you can see and explore your data from every angle, understand it and share analysis results with colleagues.
JMP Genomics automatically organizes results into tabbed reports and lets you customize your view of analysis options. With capabilities for integration with R, Excel and other tools, JMP Genomics becomes your analytic hub.
Who can use it?
All current UK faculty, staff, and students may download and install this application.
Where is it?
JMP Genomics can be acquired from http://download.uky.edu for installation on a personal computer.
To obtain the software, sign in with an active link blue account, search for JMP, and locate the correct version for your computer. Click the download link to get the installer, then complete the registration form to request a UK-specific software license.
UK currently maintains a site license for this software, so usage is free for current faculty, staff, and students. User licenses must be re-registered annually.
For technical support with download, installation, and license renewal, please call the UKIT Service Desk at 218-HELP (4357) or email email@example.com. Technical support staff in your college or department may also be able to assist you.
For technical support with application-specific or "how to" questions, please visit the vendor's support site to view self-help documentation and vendor contact information.
For support with statistical questions, guidance with study design or data evaluation, or software tool selection, please contact the Applied Statistics Lab in the College of Arts & Sciences to set up a consultation.