MBDP_Metagenomics_2022

General introduction
Schedule
Target group
Learning outcomes
Help with connections
Organizers and teachers

General introduction

Microbial community structure, diversity, and population structure are fundamental aspects to understand evolution, niche adaptation and demographic history of bacterial species. As high-throughput sequencing has become cost effective and accessible, sequencing populations of bacteria across the whole metagenome provides unprecedented resolution to investigate within-host evolution, transmission history and population structure. Moreover, analysis of genetic content of microbial communities through metagenomics has become the mainstream methodology. During this one-week course you will learn and apply bioinformatic techniques to perform population genetics and study microbial communities with metagenomic approaches. The goal is to become familiar with the bioinformatic analysis tools and to be able to utilize them in your own research after the course.

Everything is possible thanks to the support of CSC.

Before the course

Follow the instructions in here.

Schedule

The course will be from Monday 14th of November to Friday 18th of November in the City Centre Campus.

Class rooms:

Day	Time	Building	Room
Monday	10.15-17.45	🏢 Porthania	P724
Tuesday	10.15-13.00	🏛️ Main Building	U3043
Wednesday	10.15-17.45	🏛️ Main Building	U4079
Thursday	10.15-17.45	🏛️ Main Building	U4075
Friday	10.15-17.45	🏛️ Main Building	U3039

-- Link to DETAILED SCHEDULE --

-- Link to PRACTICALS --

Target group

This course is targeted at PhD and MSc students who are interested in performing metagenome analyses

Learning outcomes

Foundational skills to work with metagenomic data
Familiarity and practice with bioinformatics tools
Perspective and confidence to apply these skills in your own work
Empower you to ask and answer the questions you have of your own data

Help with connections

Eduroam or Helsinki UniGuest networks are available

Organizers and teachers

👩‍💻 Docent Jenni Hultman, University of Helsinki
👨‍💻 Docent Antti Karkman, University of Helsinki
👩‍💻 PhD Tatiana Demina, University of Helsinki

Feedback

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