Hi everyone
Instats is excited to offer a 1-day seminar, Analysis of DNA Methylation 2.0, livestreaming on 27 October and led by Dr Aline Muyle from the Institute of Evolutionary Science of Montpellier (ISEM). With next-generation sequencing now enabling nucleotide-level, genome-wide insight even in non-model organisms, this workshop empowers researchers to tackle whole-genome bisulfite sequencing (WGBS) and long-read datasets from PacBio and Oxford Nanopore. Dr Muyle will guide you through end-to-end bioinformatic workflows she employs in her own research—covering quality control, alignment, methylation calling, differential methylation analysis, haplotype-specific inference, and links to gene expression and natural selection—while providing all scripts and example data so you can immediately adapt methods to your own projects. Designed for PhD students, faculty, and professional scientists in ecology and evolution, the course blends concise lectures with hands-on coding sessions to deliver both conceptual understanding and practical skills that translate directly to publication-ready results.
Sign up today to secure your spot, and please share with colleagues who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
Instats is excited to offer a 1-day seminar, Analysis of DNA Methylation 2.0, livestreaming on 27 October and led by Dr Aline Muyle from the Institute of Evolutionary Science of Montpellier (ISEM). With next-generation sequencing now enabling nucleotide-level, genome-wide insight even in non-model organisms, this workshop empowers researchers to tackle whole-genome bisulfite sequencing (WGBS) and long-read datasets from PacBio and Oxford Nanopore. Dr Muyle will guide you through end-to-end bioinformatic workflows she employs in her own research—covering quality control, alignment, methylation calling, differential methylation analysis, haplotype-specific inference, and links to gene expression and natural selection—while providing all scripts and example data so you can immediately adapt methods to your own projects. Designed for PhD students, faculty, and professional scientists in ecology and evolution, the course blends concise lectures with hands-on coding sessions to deliver both conceptual understanding and practical skills that translate directly to publication-ready results.
Sign up today to secure your spot, and please share with colleagues who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
