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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