Computational Biology
Computational Biology Description Topics
- Importing Data
- Analyzing and Visualizing Data
- Modeling Biological Systems
- Communicating Results and Deploying Applications
- Increasing Computing Performance
Analyzing and Visualizing Data
Biological data has become so diversified and complex that flexible, non-niche data analysis and visualization tools are critical to the success of most biological research. The MATLAB family of products provides a complete analysis platform for handling complex data sets and analysis including:
- Sequence analysis – Perform genomic and proteomic sequence analysis ranging from multiple sequence alignments to building and interactively viewing and manipulating phylogenetic trees using the Bioinformatics Toolbox.
- Microarray analysis – Analyze and visualize microarray data from Affymetrix, GenePix, or ImaGene chips with the Bioinformatics Toolbox.
- Mass spectrometry analysis – Preprocess or detect biomarkers in MALDI or SELDI mass spectrometry data using the Bioinformatics Toolbox.
- Cellular and molecular imaging – Use prebuilt, customizable image processing algorithms to analyze biological images and phenomena, such as two-dimensional gels and cell motility, in conjunction with the Image Processing Toolbox.
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