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Pharmaceuticals — Pre-Clinical Development

Guarantee a high level of product safety, attain proof of principle and communicate the necessary information for initiating a clinical trial with JMP. JMP software is also widely used to implement a consistent methodology for drug manufacturing to reduce defects, minimize risks, streamline operations and increase productivity. JMP Genomics provides heavy-duty processing of genomics data sets for statistical geneticists, biologists, bioinformatics experts and statisticians as the drug development process moves toward the age of personalized medicine.

Benefits

  • Pharmacology and
    Toxicology Testing

  • Pharmacogenomics

  • Manufacturing
  • Measure the safety of a drug by monitoring adverse events in animal studies.
  • Perform toxicology testing through the assessment of laboratory values.
  • Pinpoint critical biomarkers that explain variation in drug response within a population before a compound reaches clinical trials with JMP Genomics.
  • Characterize some of the largely unknown relationships between various components of disease phenotype and genetic makeup of individuals using methods such as case control association.
  • Verify quality of microarray data and summarized measures from next-generation sequencing studies.
  • Assess the statistical significance of detected differences using flexible mixed models and correct for multiple tests.
  • Perform principal components analysis and hierarchical clustering to identify statistical outliers and discover relationships between samples and groups of genes.
  • Compare statistical results with known pathways to assess whether gene sets clustered in functional pathways show more expression changes than would be expected by chance.
  • Design, optimize, monitor and improve manufacturing and distribution.
  • Decide on the right experiments through efficient testing.
  • Use powerful design of experiments (DOE) capabilities to achieve ideal assay conditions in a single experiment.
  • Conduct robust bioassays to evaluate multiple response variables such as stability, concentrations of drug substance and impurities, until a sensitive, specific assay is found.
  • Design experiments to analyze multiple factors simultaneously to evaluate the robustness of an assay.

JMP for Drug Discovery

The JMP product family offers interactive analysis for every stage of the drug discovery and development process

Discovery Research

Pre-Clinical Development

Clinical Development

Post-Marketing Programs

Featured Success Stories

Aventis Pasteur

GlaxoSmithKline

NNE Pharmaplan

University of Heidelberg

Featured White Papers

Getting Started with Expression Analysis in JMP Genomics 4

Getting Started with JMP Genomics Genetics Analysis

Increasing Process Understanding through Data Mining and Statistical Modelling

Use of JMP® for Optimizing a Custom Peptide Microarray to Identify Autoantibodies for Multiple Sclerosis

SAS | JMP is a business unit of SAS.

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