Hi everyone,
Below is a list of our upcoming live courses covering evolutionary biology and related methods, including population genetics, genomics, phylogenetics, bioinformatics, and computational approaches with strong applications to evolutionary research.
Please feel free to share this email with colleagues, friends, and others within your institute, organisation, or wider research network.

Bioinformatics / Genomics / Genetics
Machine Learning for Evolutionary Genomics (MLEG01)
https://prstats.org/course/machine-learning-for-evolutionary-genomics-mleg01/ 
Machine Learning for Evolutionary Genomics: learn predictive modelling, data analysis, and AI methods for genomic data.
 
RNA-Seq Analysis (RNAA02)
https://prstats.org/course/rna-seq-analysis-rnaa02/ 
RNA-Seq analysis training – live online course covering experiment design, data QC, alignment, gene expression, DESeq2 differential expression, PCA, visualisation, and functional analysis.
 
Genomic Prediction of Complex Traits (GPCT01)
https://prstats.org/course/genomic-prediction-of-complex-traits-gpct01/ 
Genomic Prediction of Complex Traits: learn predictive modelling, polygenic prediction, and genomic methods for analysing complex traits.
 
Population Genomics and Structure Analysis (PGSA01)
https://prstats.org/course/population-genomics-and-structure-analysis-pgsa01/ 
Learn population structure analysis for evolutionary biology using genetic data, population genetics methods, and evolutionary inference.
 
Deep Learning for Evolutionary Genomics (DLEG01)
https://prstats.org/course/deep-learning-for-evolutionary-genomics-dleg01/ 
Deep Learning for Evolutionary Genomics: learn neural networks, predictive modelling, and AI methods for genomic data analysis.

Spatial Phylogenetics and the Bayesian Phylogenetic Mixed Model (PMM) (BPMM01)
https://prstats.org/course/spatial-phylogenetics-and-the-bayesian-phylogenetic-mixed-model-pmm-bpmm01/ 
Learn spatial phylogenetics and Bayesian phylogenetic mixed models in R. Practical online training in phylogenetic modelling and comparative workflows.
 
Single cell RNA-Seq analysis (SCRN03)
https://prstats.org/course/single-cell-rna-seq-analysis-scrn03/ 
Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.
 
Ancient DNA Analysis (ADNA01)
https://prstats.org/course/ancient-dna-analysis-adna01/ 
Ancient DNA Analysis: learn bioinformatics workflows, population genetics, and genomic analysis for ancient DNA research.
 
Metagenomic Data Analysis of Microbial Communities (MGMC01)
https://prstats.org/course/metagenomic-data-analysis-of-microbial-communities-mgmc01/ 
Learn metagenomic data analysis for microbial communities. Analyse shotgun sequencing data, profile microbiomes, and interpret microbial diversity using R.
 
Genome-Wide Association Studies (GWAS) for Evolutionary Biology (GWAS01)
https://prstats.org/course/genome-wide-association-studies-gwas-for-evolutionary-biology-gwas01/ 
GWAS for Evolutionary Biology: learn genome-wide association studies, quantitative trait analysis & genomic methods for evolutionary data.
 
Ancient Environmental Metagenomics (AEMG01)
https://prstats.org/course/ancient-environmental-metagenomics-aemg01/ 
Ancient Environmental Metagenomics: learn bioinformatics workflows, taxonomic profiling, and genomic analysis of ancient environmental DNA.
 
Introduction to Snakemake (SNKM03)
https://prstats.org/course/introduction-to-snakemake-snkm03/ 
Learn Snakemake to automate data workflows. Build reproducible, scalable pipelines for research with hands-on training in this 4-day live online course.
 
Genomics and Bioinformatics for Non-Model Organisms (BNMO01)
https://prstats.org/course/genomics-and-bioinformatics-for-non-model-organisms-bnmo01/ 
Bioinformatics for Non-Model Organisms: learn genome assembly, annotation, and genomic analysis for non-model species.
 
Ancient Microbiome and Pathogen Genomics (AMPG01)
https://prstats.org/course/ancient-microbiome-and-pathogen-genomics-ampg01/ 
Ancient Microbiome and Pathogen Genomics: learn bioinformatics, metagenomics, and genomic analysis of ancient microbial and pathogen DNA.
  
Evolutionary Biology / Ecology

Species Distribution Modelling With Bayesian Statistics (SDMB08)
https://prstats.org/course/species-distribution-modelling-with-bayesian-statistics-sdmb08/ 
Model species distributions using BART in R. Covers uncertainty, variable selection, and full Bayesian workflow.
 
Joint Species Distribution Modelling (JSDM) using HMSC: A Hierarchical Modelling Approach (JSDM01)
https://prstats.org/course/joint-species-distribution-modelling-jsdm01/ 
Analyse entire ecological communities with hierarchical models and joint species distribution modelling in R.
 
Multivariate Analysis of Ecological Communities Using VEGAN (VGNR10)
https://prstats.org/course/multivariate-analysis-of-ecological-communities-using-vegan-vgnr10/ 
Analyse ecological community data in R using VEGAN. Learn ordination, clustering, and multivariate statistics with real datasets.
 
Network Analysis for Ecological Data (NWAE02)
https://prstats.org/course/network-analysis-for-ecological-data-nwae02/ 
Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.

Thanks,
Oliver

oliver@prstats.org

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