| Bioinformatics Toolbox | |
The Bioinformatics Toolbox includes many functions to help you with genome and proteome analysis. Most functions are implemented in M-code (the MATLAB programming language) with the source available for you to view. This open environment lets you explore and customize the existing toolbox algorithms or develop your own.
| Data Formats and Databases | Access online databases, copy data into the MATLAB workspace, and read and write to files with standard bioinformatic formats. |
| Sequence Alignments | Compare nucleotide or amino acid sequences using pairwise and multiple sequence alignment functions. |
| Sequence Utilities and Statistics | Manipulate sequences and determine physical, chemical, and biological characteristics. |
| Protein Property Analysis | Determine protein characteristics and simulate enzyme cleavage reactions. |
| Phylogenetic Analysis | Explore phylogenetic data with functions and a GUI to draw phylograms (trees) |
| Microarray Data Analysis | Read, filter, normalize, and visualize microarray data. |
| Mass Spectrometry Data Analysis | Preprocess raw mass spectrometry data and use statistical learning functions to identify patterns. |
| Graph Visualization Methods | View relationships between data visually with interaction maps, hierarchy plots, and pathways. |
| Statistical Learning and Visualization | Classify and identify features in data sets, set up cross-validation experiments, and compare different classification methods. |
| Prototype and Development Environment | Create new algorithms, try new ideas, and analyze alternatives. |
| Data Visualization | Visually compare pairwise sequence alignments, multiply aligned sequences, gene expression data from microarrays, and plot nucleic acid and protein characteristics. |
| Algorithm Sharing and Application Deployment | Create GUIs and stand-alone applications. |
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| | Additional Software | Data Formats and Databases | |
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