| 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 Using Spreadsheet Link EX with Bioinformatic Data. |