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Long used by engineers and statisticians across industries, JMP entered the life sciences market five years ago. The introduction of JMP Genomics in 2006 enabled biologists, statistical geneticists and biostatisticians to explore the very foundations of life by applying powerful analysis and visualization capabilities to vast data sets common to genomics research.
Last year, JMP Clinical was born, bringing the powerful combination of SAS Analytics and JMP graphics to the highly regulated environment of safety reviews in clinical trials. JMP Clinical helps clinicians and biostatisticians migrate from a static, document-centric world to an interactive environment that makes it easy for reviewers to see the big picture and then drill down to statistical results.
New releases of both JMP Genomics and JMP Clinical later this week will bring enhancements and new capabilities to both products.
JMP Genomics 5.1 will add new tools for construction and visualization of linkage maps, among other capabilities. JMP Clinical 3.1 will automate the creation of patient narratives for each subject in a clinical trial who experiences a serious adverse event and save them in files formatted for further configuration and inclusion in the Clinical Study Report.
Enhancements were made to both products at the suggestion of customers. The new linkage mapping tools in JMP Genomics were developed in response to a request by scientists with the US Department of Agriculture’s Agricultural Research Service (USDA-ARS). Eric Jackson, PhD, an award-winning USDA-ARS research molecular biologist and JMP Genomics user, leads the Collaborative Oat Research Enterprise, a global research partnership of scientists, growers and millers dedicated to oat innovation through genomics focused on nutritional improvement. The new linkage mapping capabilities save time by calling SAS algorithms to order markers along a genome, said Jackson, who recently was recognized by the USDA-ARS as an Outstanding Early Career Research Scientist “for revitalizing oat genomics research … through exceptional scientific creativity and partnerships.”
“JMP Clinical doesn’t replace the statistician or the SAS programs,” says Mark Williams, Vice President and CIO of Applied Clinical Intelligence, a contract research organization serving the pharmaceutical, biotechnology, medical device and health care industries. Rather, it “bridges the clinical-statistical divide.”
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