Single-cell RNA-Seq Analysis (SCRN03) – Applications for Marine Mammal Research https://prstats.org/course/single-cell-rna-seq-analysis-scrn03/ Delivered by experienced bioinformaticians with expertise in single-cell transcriptomics, RNA sequencing, and computational biology. Learn how to analyse single-cell RNA sequencing (scRNA-seq) data in R using Seurat, with methods that are increasingly being applied to marine mammal biology, conservation genomics, and marine molecular ecology. Single-cell RNA sequencing is transforming our understanding of cellular diversity by measuring gene expression at the resolution of individual cells. These approaches are increasingly used to investigate immune responses, development, physiology, adaptation, and disease in both model and non-model organisms. For marine mammal researchers, single-cell transcriptomics offers powerful opportunities to study responses to environmental stress, pollutant exposure, infectious disease, climate change, diving physiology, and the molecular mechanisms underlying health and adaptation. This course provides comprehensive, hands-on training in modern scRNA-seq analysis using Seurat, covering the complete workflow from raw data to biological interpretation. What you'll gain * A strong understanding of single-cell RNA-Seq technologies and experimental design * Practical experience analysing scRNA-seq datasets using Seurat in R * Skills in quality control, filtering, normalisation, clustering, dimensionality reduction, and cell type annotation * Understanding of differential expression analysis, dataset integration, and downstream biological interpretation * Confidence applying single-cell transcriptomics to marine mammal research Course format * Live, instructor-led online training * Hands-on coding using real single-cell RNA-Seq datasets * Interactive practical exercises throughout * Strong focus on applied, research-ready workflows Who is this course for? * Marine mammal researchers * Marine molecular ecologists and conservation biologists * Researchers working with RNA-Seq and genomic datasets * Bioinformaticians and computational biologists * PhD students and quantitative marine scientists Why take this course? Single-cell transcriptomics is opening new opportunities to understand how individual cell types respond to environmental change, pathogens, pollutants, and physiological stress. These methods are becoming increasingly valuable for investigating marine mammal health, immune function, developmental biology, host–pathogen interactions, comparative physiology, and conservation genomics. As molecular datasets continue to expand, researchers need robust computational skills to analyse and interpret single-cell sequencing data. This course equips you with the practical skills needed to process, analyse, visualise, and interpret single-cell RNA-Seq data using modern R-based workflows. Whether you're studying cetaceans, pinnipeds, sirenians, or other marine vertebrates, you'll gain the analytical toolkit needed to confidently apply single-cell transcriptomics to marine mammal biology, ecology, and conservation. Learn more & enrol PR Stats course page for Single-cell RNA-Seq Analysis (SCRN03) https://prstats.org/course/single-cell-rna-seq-analysis-scrn03/ Questions? Email: oliver@prstats.org Oliver Hooker Managing Partner [signature_68833404] Advanced Training for Researchers in the Life Sciences coursesinfo@prstats.org <http://oliver@prstats.org/> | www.prstats.org<http://www.prstats.org/>
