Data Analysis 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
Mathematical Modeling for Computational Biology
MathWorks products provide a unified environment for various types of modeling, such as pharmacokinetics (PK) and systems biology. The integrated environment allows you to create and analyze a model to predict and study characteristics of your biological system. Graphical and programmatic modeling tools in SimBiology enable you to:
- Analyze and visualize external data, identify a PK model from the PK Wizard, and fit your model to the external data
- Implement a reaction network to study the dynamics of a system
- Combine models such as PK with a biochemical network
- Share results with an automatically generated report
