| Bioinformatics Toolbox | ![]() |
MATLAB and the Bioinformatics Toolbox provide an open and extensible software environment. In this environment you can interactively explore ideas, prototype new algorithms, and develop complete solutions to problems in bioinformatics. The MATLAB language facilitates the use of computation, visualization, prototyping, and deployment.
Using the Bioinformatics Toolbox in combination with other MATLAB toolboxes, you can solve multidisciplinary problems.
Signal Processing Toolbox | Process signal data from bioanalytical instrumentation. Examples include acquisition of fluorescence data for DNA sequence analyzers, fluorescence data for microarray scanners, and mass spectrometric data from protein analyses. |
Image Processing Toolbox | Create complex and custom image processing algorithms for data from microarray scanners. |
Optimization Toolbox | Use nonlinear optimization for predicting the secondary structure of proteins and the structure of other biological macromolecules. |
Neural Network Toolbox | Neural networks are used to solve problems where algorithms are not available. Train neural networks for pattern recognition using large sets of sequence data. |
Database Toolbox | Create your own in-house databases for sequence data with custom annotations. |
MATLAB Compiler | Create stand-alone applications from MATLAB GUI applications, and create dynamic link libraries from MATLAB functions for use with any programming environment. |
MATLAB COM Builder | Create COM objects to use with any COM-based programming environment. |
MATLAB Excel Builder | Create Excel add-in functions from MATLAB functions to use with Excel spreadsheets. |
| Required Software | Features and Functions | ![]() |
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