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

Mass Spectrometry Data Analysis

A set of functions is provided for mass spectrometry data analysis. The tools are designed for preprocessing, classification, and marker identification from SELDI, MALDI, LC/MS, and GC/MS data. Preprocessing functions include baseline correction, smoothing, calibration, and resampling. You can align raw spectra data using the M/Z axis and perform retention time alignment on LC/MS and GC/MS data. A GUI lets you view multiple spectra simultaneously.

Tutorials provide step-by-step examples of how to smooth, align, and normalize spectra and then use classification and statistical learning tools to create classifiers and identify potential biomarkers.

Label-free differential proteomics and metabolomics analysis using Bioinformatics Toolbox. Click on image to see enlarged view.