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Table of Contents
Table of Contents
From raw genomic sequences to predictive models, bioinformatics systems enable the analysis and interpretation of biological data at scale, unlocking insights that drive drug discovery, personalized medicine, and agricultural biotechnology.
What You Will Learn
- 1 Get introduced to bioinformatics, its history, and the types of biological data.
- 2 Understand sequence databases like GenBank and learn how to retrieve data.
- 3 Learn sequence alignment algorithms including BLAST, Smith-Waterman, and Needleman-Wunsch.
- 4 Analyze genome assembly techniques and genome annotation pipelines.
- 5 Explore phylogenetic analysis, tree building methods, and interpretation.
- 6 Understand structural bioinformatics, protein structure prediction, and molecular dynamics.
- 7 Apply transcriptomics and RNA-seq data analysis for gene expression studies.
- 8 Use R and Python programming for bioinformatics data manipulation and visualization.
- 9 Implement machine learning models for classification, regression, and clustering in bioinformatics.
- 10 Study systems biology, network analysis, and pathway modeling.
What's Included
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Bioinformatics Systems