Bioinformatics
( 24 Modules )

Module #1
Introduction to Bioinformatics
Overview of bioinformatics, its importance, and history

Module #2
Biological Databases
Introduction to biological databases, types, and uses

Module #3
Sequence Analysis
Introduction to sequence analysis, tools, and techniques

Module #4
Pairwise Sequence Alignment
Theory and practice of pairwise sequence alignment

Module #5
Multiple Sequence Alignment
Theory and practice of multiple sequence alignment

Module #6
Phylogenetic Analysis
Introduction to phylogenetic analysis, trees, and inference

Module #7
Genome Assembly
Overview of genome assembly, algorithms, and tools

Module #8
RNA-Seq Data Analysis
Introduction to RNA-Seq data analysis, tools, and pipelines

Module #9
ChIP-Seq Data Analysis
Introduction to ChIP-Seq data analysis, tools, and pipelines

Module #10
Structural Bioinformatics
Introduction to structural bioinformatics, protein structure prediction

Module #11
Functional Genomics
Introduction to functional genomics, gene expression analysis

Module #12
Microarray Data Analysis
Introduction to microarray data analysis, tools, and pipelines

Module #13
Protein-Protein Interactions
Introduction to protein-protein interactions, network analysis

Module #14
Computational Tools for Bioinformatics
Introduction to command-line tools, scripting, and workflow management

Module #15
Bioinformatics Programming
Introduction to programming for bioinformatics, Python, R, and Perl

Module #16
Data Visualization in Bioinformatics
Introduction to data visualization, tools, and best practices

Module #17
Statistical Analysis in Bioinformatics
Introduction to statistical analysis, hypothesis testing, and confidence intervals

Module #18
Machine Learning in Bioinformatics
Introduction to machine learning, supervised and unsupervised methods

Module #19
Deep Learning in Bioinformatics
Introduction to deep learning, neural networks, and applications

Module #20
Big Data in Bioinformatics
Introduction to big data, Hadoop, Spark, and NoSQL databases

Module #21
Cloud Computing for Bioinformatics
Introduction to cloud computing, AWS, Azure, and Google Cloud

Module #22
Bioinformatics Project Development
Guided project development, from concept to implementation

Module #23
Bioinformatics in Disease Research
Applications of bioinformatics in disease research, personalized medicine

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Bioinformatics career

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