ForBio course: DNA Metabarcoding: Data processing and interpretation.

ForBio (Research School in Biosystematics) and Tromsø University Museum (UiT - Arctic University of Norway) jointly offer an International course in DNA Metabarcoding. The course will link its teaching program to the current research projects run by invited lecturers to strengthen the connection between education and cutting age research methodologies. 

DNA metabarcoding is a rapid method of biodiversity assessment utilizing environmental DNA (DNA obtained from sediments, soils, water etc) which combines two technologies: DNA based species identification and high-throughput DNA sequencing. While working on bioinformatic analyses using Obitools and R/R-studio, we also discuss field sampling and wet lab design, as well as more subject-specific questions of various applications of DNA metabarcoding. These will include sedimentary DNA, diet analyses, paleoDNA studies, metagenomics of microbial communities, among others. 

The schedule of the course will be announced during week 47.

Teachers:  Eric Coissac  (, LECA, Grenoble;  Youri Lammers ( Tromsø Museum, UiT

Guest Lectures and The course programme : will be announced at a later stage

Financial aid: Participation of the Norwegian-affiliated students/researchers will be covered by ForBio. Other applicants will need to secure own funding to cover travel to Tromsø, accommodation and subsistence for the course duration. There is no course fees. 

Registration and selection process: Please fill in the online application here. ForBio reserves the right to give priority to the PhD students having their research focus on DNA metabacoding applications. 

The course is equivalent of 2.5 ECTS points, ForBio will provide certificates for those successfully completed the course assignment. The course forms a part of a larger course run at the UiT - Bio8025/Bio3025 - "Molecular identification for species diagnostics: from DNA Barcoding to Metabarcoding - 5 stp".

Find out about how to become a ForBio member here.

Maximum number of participants: 20.

Application deadline is December 09, 2019.

Results announced by December 19, 2019 via email.

Contact Galina Gusarova ( for more information.


Published Sep. 9, 2019 11:01 PM - Last modified Sep. 9, 2019 11:04 PM