Introduction to analysing microbial genomics and multi'omics data

Introduction to analysing microbial genomics and multi'omics data15.06.2023 09:00 - 16:30 (Do)Seminar-room at Graduate Center of Life Sciences Dr. Melanie Schirmer
Introduction to analysing microbial genomics and multi'omics data16.06.2023 09:00 - 16:30 (Fr)Seminar-room at Graduate Center of Life SciencesDr. Melanie Schirmer
Beschreibung Kursinhalt: 

Date: 15.06. + 16.06.2023
Time: 09:00 - 16:30 
Location: Seminarroom at Graduate Center of Life Sciences, Alte Akademie 8a, 85354 Freising

The aim of this two-day workshop is to provide a thorough introduction to computational 

approaches for the analysis of sequencing data from microbial samples. The course will be focused 

on metagenomic data from microbial communities. 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 analyses and different visualization 

techniques. We will also cover different approaches to assemble whole genome sequencing data from 

short and long read sequencing. Overall, the course will consist of a mixture of lectures and 

hands-on tutorials. 

By the end of the course participants will:

1. Be familiar with different workflows involved in the analysis of large-scale multi-omics studies.

2. Understand how to generate taxonomic and functional profiles from metagenomic sequencing data.

3. Be familiar with applying a multivariable statistical framework to generate hypotheses and account 

for confounding covariates.

4. Be able to use exploratory data visualizations techniques and visualize results from the statistical 

analysis using R.

5. Be familiar with the assembly of whole genome sequencing data for bacterial isolates.

Intended audience:

Master and PhD students who want to learn computational approaches for the analysis 

of high-dimensional sequencing data. Attendees are assumed to have a basic understanding 

of microbial community studies. Familiarity with the R is an advantage. We will also offer a short 

introductory lab for R to make the course more accessible to a wider audience.

Fachspezifische Veranstaltung
Art der Veranstaltung: 
Graduate Center of Life Sciences
Verantwortung für Veranstaltung: 
In Präsenz
Maximale Teilnehmendenzahl: 
Minimale Teilnehmendenzahl: 
Dr. Melanie Schirmer (Emmy Noether Group for Computational Microbiome Research)