Bioinformatics Toolbox 3.2

Product Description

• Bioinformatics Toolbox Key Features
• Microarray Data Analysis and Visualization
• Mass Spectrometry Data Analysis
• Graph Theory, Statistical Learning, and Gene Ontology
• Sequence Analysis
• Importing Data and Deploying Applications

Introduction

Bioinformatics Toolbox offers computational molecular biologists and other research scientists an open and extensible environment in which to explore ideas, prototype new algorithms, and build applications in drug research, genetic engineering, and other genomics and proteomics projects. The toolbox provides access to genomic and proteomic data formats, analysis techniques, and specialized visualizations for genomic and proteomic sequence and microarray analysis. Most functions are implemented in the open MATLAB® language, enabling you to customize the algorithms or develop your own.

Key Features

• Capabilities for microarray data analysis and visualization
• Support for mass spectrometry preprocessing and analysis
• Graph theory and graph visualization tools
• Statistical learning functionality
• Gene Ontology functionality
• Sequence analysis tools including functions for pairwise and multiple sequence alignment
• Phylogenetic tree analysis tools
• Genomic, proteomic, and gene expression file formats
• Access to Web-based databases

What additional features would you like in the Bioinformatics Toolbox?

Circular DNA map, multiple sequence alignment, and secondary structure of RNA sequence. Bioinformatics Toolbox includes a variety of tools for visualizing sequence data. Click on image to see enlarged view.

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