Bioinformatics Toolbox
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
Bioinformatics Toolbox provides a set of functions for mass spectrometry data analysis. These functions enable 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. You can plot multiple spectra simultaneously.
Label-free differential proteomics and metabolomics analysis using Bioinformatics Toolbox.
You can smooth, align, and normalize spectra and then use classification and statistical learning tools to create classifiers and identify potential biomarkers.
Identifying Significant Features and Classifying Protein Profiles
See classification of mass spectrometry data and statistical tools that can be used to look for potential disease markers and proteomic pattern diagnostics.
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