Data Analysis for Computational Biology
Merrimack Pharmaceuticals
Model-based drug design enables us to rapidly identify optimal pathway targets and determine the best approach. MathWorks tools are an essential part of this process. The models inform our decisions throughout drug development, enabling us to develop targeted therapeutics with higher efficacy and fewer side effects.
- Computational Biology Overview
- Data Analysis for Computational Biology
- Mathematical Modeling for Computational Biology
By providing an integrated environment for computational biology, MathWorks products eliminate the need to work with separate, incompatible tools for import, analysis, and results sharing. You can:
- Perform a spectrum of analyses including nonlinear mixed-effects, sequence, microarray, phylogenetic tree, mass spectrometry, and gene ontology
- Import data from multiple sources, such as databases, file formats, or hardware
- Share results with automatically generated HTML reports, data visualizations, or stand-alone tools
- Parallelize data analysis to decrease computation time
- Automate analyses to implement batch processing of contiguous processes
Free Computational Biology Interactive Kit
See how to analyze, visualize, and model biological data and systems using MathWorks products.
Get free kit