ONLINE COURSE – Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01) This course will be delivered live
https://www.prstatistics.com/course/introduction-to-multiomics-data-analysis-from-microbial-communities-momc01/ Delivered by Dr. Melanie Schirmer Please feel free to share! Friday 10th March 2023 The aim of this one-day workshop is to provide a thorough introduction to computational approaches for the analysis of microbial community profiles with a focus on metagenomic sequencing data. We will explain how taxonomic and functional profiles are generated from raw sequencing data, introduce different bioinformatic approaches to process sequencing data, followed by multivariate statistical analysis and different visualization techniques. The course will consist of a mixture of lectures and hands-on tutorials. The practical part of the course will focus on the analysis of publicly available multi-omics profiles. By the end of the course participants should: 1. Be familiar with different workflows involved in the analysis of large-scale multi-omics studies. 2. Understand how to generate taxonomic, functional and strain profiles from metagenomic sequencing data. 3. Be familiar with applying a multivariate statistical framework to generate hypothesesand account for confounding covariates. 4. Be able to use exploratory data visualizations techniques and visualize results from the statistical analysis using R. Lecture 1 – general Introduction Lecture 2 – Introduction to microbial community analysis Practical 1 – Introduction to R and R notebook Lecture 3 – Metagenomic data visualisation and exploratory analysis with cMD Practical 2 – Metagenomic data visualisation Lecture 4 – Statistics for microbial multi-comics data, methods for multi-comics integration Practical 3 – Multivariate analysis (Linear models and/or MaAsLin2 Lecture 5 – Large-scale multi-omics studies Conclusions – Discussion, questions, wrap up! -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
