Biotech, Pharmaceutical, and Medical

Industry Segments

• Bioinformatics
• Pharmacokinetics / Pharmacodynamics
• Biosignal Processing and Data Analysis
• Biomedical Imaging
• Medical Devices and Instrumentation Design
• Lab Automation and Instrument Control

See also: MathWorks products for computational biology

Bioinformatics

The explosive growth of data about genes, proteins, and drug molecules and their functions and interactions, necessitates efficient mathematical algorithms and software tools to extract meaning from that data. These algorithms and tools must be equally effective with raw data generated through gene sequencing, allele scoring, high-throughput screening assays, and expression array analysis.

From left to right: The MathWorks Statistics Toolbox™ product - Multivariate Analysis of Variance (MANOVA); TrueAllele—an "open system" for high-throughput genotyping; Gel image created by 2-D polyacrylamide-gel electrophoresis. Courtesy of Alan W. Partin, M.D., Ph.D., Johns Hopkins University School of Medicine

Bioinformatics scientists and developers worldwide rely on MATLAB^® to accelerate scientific discovery and reduce development time. Developers in bioinformatics value the open, component-based architecture of the MATLAB environment, which lets them choose only the tools and extensions needed. In addition, they have direct access to toolbox source code and can easily modify existing functions and models or add custom functions.

Learn more about MathWorks products for technical computing.