JMP statistical discovery software helps users visualize life sciences data, facilitating efficient and interactive exploration and analysis. When used from bench to bedside, JMP can optimize the research and development cycle, bringing safe, effective drugs to market in a quick and profitable manner, and analyze a product’s entire life cycle from pre- to post-marketing observations.
The drug discovery and development pathway is expensive, and is further complicated by great pressures to be the first to pinpoint medical needs and opportunities, all while complying with strict policies and regulations. Pharmaceutical companies are seeing patents expire, generics moving in on the market share and a dwindling pipeline.
JMP for Drug Discovery
The JMP product family offers interactive analysis for every stage of the drug discovery and development process.
- JMP Clinical
- JMP Genomics
- JMP & the FDA
- JMP & SAS Life Sciences
Pharmaceutical companies that leverage technological resources will protect their financial well-being and improve the well-being of those who need their products. JMP software is a comprehensive statistical analysis tool that can be used at every stage of drug discovery and development. You can:
- Access and load data from numerous databases and formats.
- Modify and manipulate the data through an easy to use, point-and-click Graphical User Interface (GUI).
- Explore and analyze data with a wide range of statistical and graphical techniques found in the menu-driven system – without having to write your own code.
- Automate analyses to cut development time.
- Visualize your data in dynamic and interactive graphs that clearly communicate your findings.
- Copy and paste summary tables into reviews.
Our Commitment to Quality
JMP pledges an unwavering commitment to data quality and evidenced-based safety. JMP analytics are tested and supported by SAS, a trusted partner to the pharmaceutical industry for more than 25 years. Read our Quality Statement for detailed information on the JMP development process, numerical accuracy, operational qualification and installation validation.
JMP Clinical software from SAS can shorten the drug development process by streamlining safety reviews during clinical trials. Dynamically linking advanced statistics and graphics, JMP Clinical creates reports from CDISC data, the global standard, helping reviewers migrate into the modern review environment. Its intuitive dashboard assures simplified drug safety analysis backed by statistically rigorous screening of all safety domains. JMP Clinical reduces false-discovery rates, mitigating the risk of over-reporting adverse events. Offering easy access to the data behind the graphics, JMP Clinical permits clustering of events, interventions and findings. Reviewers rely on JMP Clinical to:
- Examine relationships of variables within and across domains.
- Explore adverse events, patient profiles and other factors from many perspectives.
- Share reports easily, streamlining communications between internal reviewers, then between sponsor organizations and approvers at the US Food and Drug Administration (FDA).
As translational medicine moves into the mainstream, pharmaceutical companies will need powerful software to bridge the gaps between discovery research, development and diagnosis. JMP Genomics provides heavy-duty processing of genomics data sets for statistical geneticists, biologists, bioinformatics experts and statisticians. By integrating with SAS, it is a powerful tool for research teams to apply molecular insights from the lab to the realities of a clinical setting. You can:
- Understand data generated from genetics, expression, exon, copy-number and proteomics studies.
- Use the menu-driven, point-and-click system to simplify workflow and eliminate the need for programming.
- Explore data from every angle, then easily share finding with colleagues.
SAS is the FDA standard for electronic submissions and the choice of 100 percent of the Fortune 500 life sciences companies, and JMP is the most commonly used tool in the clinical review community, with 40 percent of the medical reviewers at the FDA making it their primary choice. JMP is compatible with FDA processes and will continue to be well-suited to exchange standards as they evolve. JMP is an active participant in the Clinical Data Integration Standards Consortium (CDISC) and supports the standardization initiative with added scripts and features designed especially to meet CDISC standards.
JMP Clinical uses CDISC data, the globally recognized standard for clinical analysis and reporting. It organizes the review process, working behind the scenes to automate the analytics and reporting. As one of the first tools that inherently understand ADaM data, JMP Clinical is a great option for clinicians and biostatisticians migrating into the modern review environment.
Two members of the JMP product family — JMP Clinical and JMP Genomics — combine the full power of the JMP® statistical discovery platform with industry-leading SAS® Analytics for the ultimate example of out-of-the-box integration. JMP, our original product, is often deployed as a standalone desktop tool. But JMP also integrates seamlessly with SAS as a scalable and cost-effective analytic alternative, allowing users to combine robust SAS analytics and the rich graphics that JMP provides. JMP can be used as a fully integrated interface to visually display data with any SAS Life Sciences products, including: