From Sequence Analysis to Phylogenetic Mastery-2
Decoding the Tree of Life Leverage AI-driven phylogenomics and high-throughput sequencing to reconstruct precise evolutionary histories.
Course Description
In the rapidly advancing landscape of 2026, the ability to transform raw genetic data into high-resolution evolutionary models is a cornerstone of modern biology. This webinar, From Sequence Analysis to Phylogenetic Mastery, provides a deep dive into the computational workflows required to analyze complex multi-omics datasets. We move beyond basic alignments to explore AI-enhanced sequence-based classification and Deep Learning models like CNNs for identifying conserved functional motifs. Participants will master industry-standard tools such as IQ-TREE, RAxML, and Nextflow to build scalable, reproducible pipelines for Large-scale Phylogenomics. Whether you are investigating viral transmission dynamics or the evolution of complex gene families, this course equips you with the Machine Learning strategies and HPC-accelerated techniques necessary to achieve superior taxonomic resolution and predictive accuracy.
What You'll Learn
Advanced Sequence Alignment: Utilize MAFFT and Clustal Omega for high-accuracy protein and nucleotide alignments.
AI-Powered Discovery: Apply Convolutional Neural Networks (CNNs) to identify motifs in divergent or novel viral genomes.
Evolutionary Model Selection: Use ModelFinder and IQ-TREE to determine the best-fit substitution models for your data.
Phylogenetic Reconstruction: Master Maximum Likelihood (ML) and Bayesian Inference for building robust species trees.
Scalable Pipelines: Automate multi-step analysis using Nextflow and Snakemake for high-throughput genomic studies.
Network Analysis: Explore Phylogenetic Networks to model complex events like hybridization and horizontal gene transfer.
Curriculum
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Advanced Sequence Alignment: Utilize MAFFT and Clustal Omega for high-accuracy protein and nucleotide alignments.
Lesson -
AI-Powered Discovery: Apply Convolutional Neural Networks (CNNs) to identify motifs in divergent or novel viral genomes.
Lesson -
Evolutionary Model Selection: Use ModelFinder and IQ-TREE to determine the best-fit substitution models for your data.
Lesson -
Phylogenetic Reconstruction: Master Maximum Likelihood (ML) and Bayesian Inference for building robust species trees.
Lesson -
Scalable Pipelines: Automate multi-step analysis using Nextflow and Snakemake for high-throughput genomic studies.
Lesson -
Network Analysis: Explore Phylogenetic Networks to model complex events like hybridization and horizontal gene transfer.
Lesson
