Introduction to Bioinformatics and Genomics
( 25 Modules )

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

Module #2
Molecular Biology Fundamentals
Review of molecular biology concepts:DNA, RNA, proteins, and genomics

Module #3
Introduction to Genomics
Definition, types, and history of genomics; genome sequencing and assembly

Module #4
Bioinformatics Tools and Databases
Overview of popular bioinformatics tools, databases, and their applications

Module #5
Sequence Alignment
Basic concepts of sequence alignment, scoring matrices, and dynamic programming

Module #6
Multiple Sequence Alignment
Approaches and tools for multiple sequence alignment

Module #7
Phylogenetic Analysis
Introduction to phylogenetics, tree building, and phylogenetic inference methods

Module #8
Genome Assembly and Annotation
Overview of genome assembly strategies and annotation pipelines

Module #9
Gene Expression and Regulation
Introduction to gene expression, regulation, and analysis using high-throughput data

Module #10
Microarray Data Analysis
Introduction to microarray technology and data analysis using R and Bioconductor

Module #11
RNA-Seq Data Analysis
Introduction to RNA-Seq, data preprocessing, and differential expression analysis

Module #12
Functional Enrichment Analysis
Methods and tools for functional enrichment analysis using Gene Ontology and pathway analysis

Module #13
Protein Structure and Function
Introduction to protein structure, function, and prediction using bioinformatics tools

Module #14
Protein-Protein Interactions
Analysis of protein-protein interactions using high-throughput data and network analysis

Module #15
Next-Generation Sequencing
Overview of NGS technologies, applications, and data analysis challenges

Module #16
Variant Detection and Analysis
Methods and tools for variant detection, annotation, and functional interpretation

Module #17
Genome-Wide Association Studies
Introduction to GWAS, study design, and data analysis using PLINK and R

Module #18
Epigenomics and Epigenetics
Introduction to epigenomics, epigenetic mechanisms, and bioinformatics analysis

Module #19
Single-Cell Omics
Introduction to single-cell RNA-Seq, data analysis, and cell type identification

Module #20
Cancer Genomics
Overview of cancer genomics, tumor evolution, and bioinformatics analysis

Module #21
Computational Methods for Genomics
Introduction to algorithmic and machine learning approaches in genomics

Module #22
Cloud Computing for Bioinformatics
Introduction to cloud computing platforms and bioinformatics applications

Module #23
Reproducibility and Collaboration in Bioinformatics
Best practices for reproducibility, collaboration, and data sharing in bioinformatics

Module #24
Ethical Considerations in Genomics and Bioinformatics
Ethical issues in genomics and bioinformatics, including data privacy and consent

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Introduction to Bioinformatics and Genomics career

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