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| R2012a Documentation → Bioinformatics Toolbox | |
Learn more about Bioinformatics Toolbox |
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| Contents | Index |
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Install the Bioinformatics Toolbox software from a DVD or Web release using the MathWorks® Installer. For more information, see the installation documentation.
The Bioinformatics Toolbox software requires the following MathWorks products to be installed on your computer.
| Required Software | Description |
|---|---|
| MATLAB | Provides a command-line interface and integrated software environment for the Bioinformatics Toolbox software. Bioinformatics Toolbox software requires the current version ofMATLAB. |
| Statistics Toolbox™ | Provides basic statistics and probability functions used by the Bioinformatics Toolbox software. Bioinformatics Toolbox software requires the current version ofStatistics Toolbox. |
MATLAB and the Bioinformatics Toolbox software environment is open and extensible. In this environment you can interactively explore ideas, prototype new algorithms, and develop complete solutions to problems in bioinformatics. MATLAB facilitates computation, visualization, prototyping, and deployment.
Using the Bioinformatics Toolbox software with other MATLAB toolboxes and products will allow you to do advanced algorithm development and solve multidisciplinary problems.
| Optional Software | Description |
|---|---|
| Parallel Computing Toolbox™ | Perform parallel bioinformatic computations on multicore computers and computer clusters. For an example of batch processing through parallel computing, see the Batch Processing of Spectra Using Distributed Computing demo. |
| 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. |
| SimBiology® | Model, simulate, and analyze biochemical systems. |
| Optimization Toolbox™ | Use nonlinear optimization to predict the secondary structure of proteins and the structure of other biological macromolecules. |
| Neural Network Toolbox™ | Use neural networks to solve problems where algorithms are not available. For example, you can 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 standalone applications from MATLAB GUI applications, and create dynamic link libraries from MATLAB functions to use with any programming environment. |
| MATLAB Builder™ NE | Create COM objects to use with any COM-based programming environment. |
| MATLAB Builder JA | Integrate MATLAB applications into your organization's Java™ programs by creating a Java wrapper around the application. |
| MATLAB Builder EX | Create Microsoft® Excel® add-in functions from MATLAB functions to use with Excel spreadsheets. |
| Spreadsheet Link™ EX | Connect Microsoft Excel with the MATLAB Workspace to exchange data and to use MATLAB computational and visualization functions. For more information, see Importing and Exploring Bioinformatic Data from Microsoft Excel. |
 | Product Overview | Features and Functions |  |
See how to analyze, visualize, and model biological data and systems using MathWorks products.
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