Statistical Methods for Microbiome Studies

Statistical Methods for Microbiome Studies

Statistical Methods for Microbiome Studies

Vigo, 9th July 2017. Malu Calle

Pre-conference Courses (ISCB 2017).

Understanding human-microbiome relationship and how it can be modulated is a frontier for preventive medicine and for the medical management of chronic diseases and represents an opportunity for food and pharma industry.

Although the human microbiome has long been known to influence human health and disease, high-throughput DNA sequencing technologies have revolutionized this field by allowing the study of the genomes of all microorganisms of a given environment. Metagenomics provides an efficient and cost-effective tool for investigating the members of a microbial community and how they change. It represents a breakthrough in the study of the link between human microbiome and our health.

This course provides a self-contained introduction to microbiome data analysis. A brief introduction to concepts in microbial ecology and microbial DNA sequencing will be given but the main focus will be on illustrating the use of R packages, such as phyloseq, for managing and visualizing high-dimensional and structured data, normalization, filtering, and multivariate analysis of microbiome count data.

More info of other pre-conference courses, here.