Computational Biology
Computational Biology Description Topics
- Importing Data
- Analyzing and Visualizing Data
- Modeling Biological Systems
- Communicating Results and Deploying Applications
- Increasing Computing Performance
Increasing Computing Performance
The enormous growth of biological data sets often means slow turnaround on analysis and results. You can alleviate this computational strain using the capabilities in MATLAB to handle large data sets and analysis.
- Large data set handling – MATLAB lets you avoid the limitations of 32-bit operating systems by using memory mapping to handle the analysis of large data sets.
- Distributed computing – Increase performance by executing coarse-grained MATLAB algorithms and Simulink models in a cluster of computers with the Parallel Computing Toolbox.
- 64-bit computing – MATLAB lets you leverage the benefits of 64-bit computing for applications involving large data sets and computationally intensive tasks.
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