Free Biotech & Pharmaceutical Interactive Kit
See how to analyze, visualize, and model biological data and systems

Computational biologists use MathWorks products to understand and predict biological behavior using analysis of experimental data and mathematical modeling. MathWorks products for Biotech & Pharmaceutical help you synthesize large amounts of heterogeneous data and develop models for complex, unknown biological systems.
Complete this form to access free technical resources that demonstrate how MathWorks products for Biotech & Pharmaceutical support an entire workflow, including data import, analysis, modeling, and sharing of results.
Recorded presentations
Includes product demonstrations led by biotech & pharmaceutical product experts- Population Pharmacokinetic Modeling using Nonlinear Mixed-Effects Methods in SimBiology
- Computational Statistics in BioPharm using MATLAB Products
- Response Surface Models of Drug Interactions with Curve Fitting Toolbox
- Introduction to Curve Fitting for Nonprogrammers
- Multivariate Data Analysis and Monitoring for the Process Industries
- Quantitative High-Throughout Gene Expression Imaging
- Automating the Analysis of Life-Sciences Data with MATLAB
- Introduction to MATLAB for Life Scientists
- Data Analysis and Visualization Challenges in Metagenomics
User Stories
Concise reports about MathWorks customers solving real-world problems, including:- Roche Evaluates Drug Safety and Efficacy Using MathWorks Tools
- Merrimack Pharmaceuticals Reduces Drug Discovery Time with MATLAB and SimBiology
- Novartis Accelerates Model Development Process with MathWorks Tools
- Pfizer Guides Lab Experiments Using Computational Analysis with MathWorks Tools
Product Data Sheets
Details of MathWorks products for biotech & pharmaceutical, including:- Bioinformatics Toolbox
- Curve Fitting Toolbox
- SimBiology
- Statistics Toolbox
Articles
Biotech & pharmaceutical related papers and articles- Analyzing High-Resolution Microscopy Images
- Analyzing High-Speed Video Images to Quantify the Performance of Innovative Drug Delivery Technology