Hi everyone
Instats is excited to offer a 1-day seminar, Single Cell Data Analysis 3.0, livestreaming September 9th and led by Nikolay Oskolkov from Lund University. As single-cell methods become central to biological and health research, mastering computational approaches for single-cell RNA sequencing data is essential for investigating cellular heterogeneity and advancing discovery in areas such as cancer research, developmental biology, and immunology. In this workshop, you’ll gain hands-on experience with state-of-the-art workflows for preprocessing, quality control, normalization, dimensionality reduction, clustering, visualization, differential expression analysis, and dataset integration using key tools in both R and Python. Nikolay Oskolkov’s practical approach emphasizes widely used frameworks such as Seurat and Scanpy, helping PhD students, academic researchers, and professionals develop the skills needed to move from raw single-cell data to meaningful biological interpretation.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Instats | instats.org
Instats is excited to offer a 1-day seminar, Single Cell Data Analysis 3.0, livestreaming September 9th and led by Nikolay Oskolkov from Lund University. As single-cell methods become central to biological and health research, mastering computational approaches for single-cell RNA sequencing data is essential for investigating cellular heterogeneity and advancing discovery in areas such as cancer research, developmental biology, and immunology. In this workshop, you’ll gain hands-on experience with state-of-the-art workflows for preprocessing, quality control, normalization, dimensionality reduction, clustering, visualization, differential expression analysis, and dataset integration using key tools in both R and Python. Nikolay Oskolkov’s practical approach emphasizes widely used frameworks such as Seurat and Scanpy, helping PhD students, academic researchers, and professionals develop the skills needed to move from raw single-cell data to meaningful biological interpretation.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Instats | instats.org