**Bioinformatics** is the study of science in which mathematical informational techniques, including statistics, are used to solve biological problems by using computer programs, mathematical models or both. **Bioinformatics** develops methods and software tools for understanding biological data. **Bioinformatics** combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. It is also called bio computing. **Bioinformatics** has two major roles that is data mining and analysis of the data gathered by the various genome projects. It also helps in sequence alignment, protein structure prediction, systems biology, protein-protein interactions and virtual evolution, developing computer databases and algorithms for enhancing the research

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- Advanced Plotting and Model Building
- Data Import and Applications Deployment
- Function and files
- Gene Ontology
- Graph Theory
- High- Throughput Sequence Analysis
- Linear Algebric Equations
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- Microarray Data Analysis and Visualization
- Molecular Dynamics
- Next Generation Sequencing Analysis
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- Numerical Calculus And Differential Equations
- Overview and Key Features of bioinformatics
- Phylogenetic Analysis using Matlab
- Probability Statistics and Interpolation
- Programming with MATLAB
- Scripting (Python and Perl most commonly)
- Simulating The System In Matlab
- Symbo'lic Processing with MATLAB
- Total Cost Of Radar System
- Transmitter side components

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