Bioinformatics of Viral Pathogens
( 24 Modules )

Module #1
Introduction to Bioinformatics of Viral Pathogens
Overview of the field, importance, and applications of bioinformatics in viral research

Module #2
Viral Genomics and Evolution
Viral genome structure, replication, and evolution, including phylogenetics and genomics analysis

Module #3
Viral Sequence Analysis
Introduction to sequence analysis, including genomic assembly, annotation, and visualization

Module #4
Multiple Sequence Alignment
Methods and tools for multiple sequence alignment, including pairwise and multiple alignment algorithms

Module #5
Phylogenetic Analysis
Reconstruction of phylogenetic trees, including maximum likelihood, Bayesian inference, and distance-based methods

Module #6
Viral Phylogenomics
Applications of phylogenomics to understand viral evolution, transmission, and epidemiology

Module #7
Viral Genome Annotation
Gene prediction, functional annotation, and annotation tools for viral genomes

Module #8
Viral RNA Structure Analysis
RNA structure prediction, analysis, and functional implications for viral RNA

Module #9
Host-Virus Interactions
Bioinformatics approaches to study host-virus interactions, including protein-protein interactions and gene regulation

Module #10
Viral Proteomics
Mass spectrometry-based proteomics for viral protein analysis, including data analysis and database searching

Module #11
Viral Epitope Prediction
Bioinformatics approaches to predict viral epitopes, including machine learning and immunoinformatics methods

Module #12
Viral Vaccine Design
Computational approaches to design and optimize viral vaccines, including epitope-based and whole-genome approaches

Module #13
Viral Drug Design
Computational approaches to design and optimize antiviral drugs, including molecular modeling and docking

Module #14
High-Throughput Sequencing for Viral Research
Applications and analysis of HTS data for viral research, including metagenomics and transcriptomics

Module #15
Viral Metagenomics
Analysis and interpretation of viral metagenomics data, including community profiling and functional inference

Module #16
Viral Transcriptomics
Analysis and interpretation of viral transcriptomics data, including RNA-seq and microarray analysis

Module #17
Viral Epidemiology and Outbreak Analysis
Bioinformatics approaches to study viral epidemiology and outbreak analysis, including contact tracing and transmission modeling

Module #18
Computational Models for Viral Spread
Mathematical and computational models to simulate and predict viral spread, including compartmental models and network models

Module #19
Machine Learning for Viral Genomics
Applications of machine learning to viral genomics, including predictive modeling and feature selection

Module #20
Cloud Computing for Viral Bioinformatics
Cloud computing resources and strategies for large-scale viral bioinformatics analysis

Module #21
Workflow Management for Viral Bioinformatics
Workflow management systems and best practices for viral bioinformatics pipelines

Module #22
Data Visualization for Viral Bioinformatics
Data visualization tools and best practices for effective communication of viral bioinformatics results

Module #23
Case Studies in Viral Bioinformatics
Real-world examples of bioinformatics applications to understand and combat viral pathogens

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

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Bioinformatics of Viral Pathogens ( 24 Modules )

Bioinformatics of Viral Pathogens
( 24 Modules )