Applications of Bioinformatics in Wildlife Management
( 30 Modules )

Module #1
Introduction to Bioinformatics and Wildlife Management
Overview of bioinformatics, wildlife management, and their intersection

Module #2
Wildlife Genomics:Principles and Technologies
Introduction to genomic analysis, sequencing technologies, and their applications in wildlife management

Module #3
Sequence Alignment and Phylogenetics
Methods for multiple sequence alignment, phylogenetic tree construction, and their applications in wildlife management

Module #4
Genetic Variation and Population Genetics
Analysis of genetic variation, population genetics principles, and their applications in wildlife management

Module #5
Introduction to Computational Tools for Bioinformatics
Overview of bioinformatics software, databases, and programming languages (e.g. R, Python,UNIX)

Module #6
Data Management and Visualization in Wildlife Bioinformatics
Strategies for managing and visualizing large datasets in wildlife bioinformatics

Module #7
Applications of Genomics in Wildlife Disease Ecology
Using genomics to study and manage wildlife diseases, including genetic basis of disease resistance and susceptibility

Module #8
Genomic Approaches to Wildlife Conservation
Using genomics to inform conservation efforts, including identification of conservation units and management of fragmented populations

Module #9
Wildlife Forensics and Genomics
Applications of genomics in wildlife forensic science, including species identification and individualization

Module #10
Next-Generation Sequencing (NGS) Technologies
Principles and applications of NGS technologies, including whole-genome sequencing and transcriptomics

Module #11
RNA-seq Analysis for Wildlife Research
Methods for analyzing RNA-seq data, including gene expression profiling and differential expression analysis

Module #12
ChIP-seq and Epigenomics in Wildlife Research
Methods for analyzing ChIP-seq data, including epigenetic profiling and gene regulation

Module #13
Computational Methods for Species Identification
Machine learning and other computational approaches for species identification using molecular data

Module #14
Phylogeography and Species Delimitation
Methods for inferring phylogeographic patterns and delimiting species boundaries

Module #15
Genomic Approaches to Diet and Nutrition Analysis
Using genomic data to study diet and nutrition in wildlife, including gut microbiome analysis

Module #16
Integrating Genomics and Ecology in Wildlife Management
Using genomic data to inform ecological models and management decisions

Module #17
Case Studies in Wildlife Bioinformatics
Real-world examples of bioinformatics applications in wildlife management, including disease ecology, conservation, and forensics

Module #18
Future Directions in Wildlife Bioinformatics
Emerging trends and opportunities in wildlife bioinformatics, including single-cell genomics and environmental DNA

Module #19
Ethics and Regulations in Wildlife Bioinformatics
Ethical considerations and regulatory frameworks for the use of genomic data in wildlife management

Module #20
Communicating Bioinformatics Results to Stakeholders
Strategies for effectively communicating bioinformatics results to wildlife managers, policymakers, and the general public

Module #21
Hands-on Exercise:Introduction to R for Wildlife Bioinformatics
Practical exercise using R for data analysis and visualization in wildlife bioinformatics

Module #22
Hands-on Exercise:Genome Assembly and Annotation
Practical exercise assembling and annotating a genome using bioinformatics tools and software

Module #23
Hands-on Exercise:RNA-seq Analysis using DESeq2
Practical exercise analyzing RNA-seq data using DESeq2 and R

Module #24
Hands-on Exercise:Phylogenetic Analysis using RAxML
Practical exercise constructing phylogenetic trees using RAxML and molecular data

Module #25
Hands-on Exercise:Species Identification using Machine Learning
Practical exercise using machine learning algorithms for species identification

Module #26
Hands-on Exercise:Integrating Genomics and Ecology in Wildlife Management
Practical exercise integrating genomic data into ecological models and management decisions

Module #27
Group Project:Wildlife Bioinformatics Case Study
Students work in groups to analyze and present a real-world case study in wildlife bioinformatics

Module #28
Peer Review and Discussion of Group Projects
Students review and discuss each others group projects

Module #29
Final Project:Wildlife Bioinformatics Research Proposal
Students develop and present an independent research proposal in wildlife bioinformatics

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Applications of Bioinformatics in Wildlife Management career

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Applications of Bioinformatics in Wildlife Management ( 30 Modules )

Applications of Bioinformatics in Wildlife Management
( 30 Modules )