Presenter(s): Alex Emmons (BTEP), Amy Stonelake (BTEP), Joe Wu (BTEP), Peter FitzGerald (GAU). Introduction to bioinformatics for RNA sequence analysis. Participants will be guided through droplet-based scRNA-seq analysis pipelines from raw reads to cell clusters. Bioinformatics Training and Education Program. ![]() This course covers the basic concepts and methods required for RNA-seq analysis. The goal of the resource is to provide a comprehensive introduction. Compute and assess QC metrics at every step in the workflow. The course is taught through the University of Cambridge Bioinformatics training unit, but the material found on these pages is meant to be used for anyone interested in learning about computational analysis of scRNA-seq data. February 28 - March 3: RNA-Seq Data Analysis Workshop (Berlin, Germany) March 30 - April 1: Online Course - A Practical Introduction to NGS Data Analysis (Online) May 9-12: Online Course - Bioinformatics Pipeline Development with Nextflow (Online) May 16-18: Online Course - A Practical Introduction to NGS Data Analysis (Online) It can also be used as a standalone online course. We accept credit cards, as well as UC Davis recharge accounts, for payment. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. As such, levels of a specific mRNA are viewed as the "expression. The workshop consists of presentations and hands-on tutorials. ![]() However, we anticipate returning to in-person teaching in 2022. Ap1-3pm: Advanced discussion on normalization, differential analysis, batch-correction, and Q&A Requirements. This hands-on course in Zoom introduces single-cell RNA-seq (scRNA-seq) data analysis methods. Discuss the steps involved in taking raw single-cell RNA-sequencing data and generating a count (gene expression) matrix. This is an introductory workshop in the RNA-Seq Analysis series.
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