MEGA Genomic Innovation Boot Camp
Master Molecular Evolution and Phylogenomics using the Power of MEGA 12. From Sequence Alignment to Timetree Construction with AI-Enhanced Genomic Tools.
Course Description
Step into the frontier of evolutionary genetics with the MEGA Genomic Innovation Boot Camp. As genomic datasets grow in scale and complexity, mastering the Molecular Evolutionary Genetics Analysis (MEGA) software is essential for modern researchers. This intensive program is designed to transform you into a specialist in comparative genomics, teaching you how to infer evolutionary relationships, estimate divergence times, and test for natural selection. Our curriculum integrates AI-driven bioinformatics assistants like MEGA-GPT to streamline your discovery process and automate complex phylogenetic workflows. Whether you are analyzing viral outbreaks or deep-branching eukaryotic trees, this boot camp provides the hands-on training needed to generate high-resolution, publication-ready figures. Join Dr. Omics Labs to bridge the gap between raw biological sequences and profound evolutionary insights in biotech, epidemiology, and biodiversity research.
What You'll Learn
"Proficiency in the latest MEGA 12 interface and command-line execution.
Multi-sequence alignment techniques using ClustalW and MUSCLE algorithms.
Selection of the best-fit Nucleotide and Amino Acid substitution models.
Construction of advanced Phylogenetic Trees (Maximum Likelihood, NJ, and Bayesian).
Estimation of Molecular Clocks and divergence times using the Timetree Wizard.
Statistical testing for Positive and Purifying Selection (Z-tests and Fisher’s).
Leveraging AI-powered assistants for automated data interpretation and troubleshooting."
Curriculum
-
1: Introduction to Molecular Evolution and the MEGA Ecosystem.
Lesson -
2: Sequence acquisition from NCBI/GenBank and Alignment editing.
Lesson -
3: Distance-based vs. Character-based methods in Phylogeny Inference.
Lesson -
4: Evaluating tree reliability with Bootstrap and Interior-Branch tests.
Lesson -
5: Advanced substitution modeling and site-by-site rate variation.
Lesson -
6: Ancestral State Reconstruction and Evolutionary Dating.
Lesson -
7: Final Project: Building a complete Phylogenomic Workflow for publication.
Lesson
