Bioinformatics Toolbox 3.5
Product Description
- Overview and Key Features
- Next Generation Sequencing Analysis
- Microarray Data Analysis and Visualization
- Mass Spectrometry Data Analysis
- Graph Theory, Statistical Learning, and Gene Ontology
- Sequence Analysis
- Data Import and Applications Deployment
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. |
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