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Old 02-14-2019, 06:08 AM   #1
Physalia-courses
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Location: Berlin

Join Date: May 2017
Posts: 20
Default Interested in Metabarcoding?

Course "16 S/ITS Metabarcoding of microbial communities"



https://www.physalia-courses.org/cou...hops/course30/




When: 1-5 April 2019



Where: Free University of Berlin (Germany)




Instructors:

Dr. Antti Karkman (University of Helsinky, Finland)

Dr. Anna Sandionigi (University of Milan Bicocca, Italy)

Dr. Bruno Fosso (Institute of Biomembrane,Bioenergetics and Molecular Biotechnologies, CNR, Italy)





This course will provide a thorough introduction to the application of metabarcoding techniques in microbial ecology. The topics covered by the course range from bioinformatic processing of next-generation sequencing data to the most important approaches in multivariate statistics. Using a combination of theoretical lectures and hands-on exercises, the participants will learn the most important computational steps of a metabarcoding study from the processing of raw sequencing reads down to the final statistical evaluations. All the hands-on exercises will be carried out using QIIME2 platform (https://qiime2.org/).







Learning Outcomes:




1) Understanding the concept, potential and limitation of microbial metabarcoding techniques.


2) Learning how to process raw sequencing reads to obtain meaningful information.


3) Obtaining experience on how to statistically evaluate and visualize your data.


4) Being able to make informed decisions on best practices for your own data.



For more information about the program, please visit our website: https://www.physalia-courses.org/cou...curriculum-30/


Here is the full list of our courses and Workshops: https://www.physalia-courses.org/courses-workshops/



Should you have any questions, please feel free to contact us: info@physalia-courses.org

Best regards,

Carlo









--------------------

Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info@physalia-courses.org

http://www.physalia-courses.org/

Twitter: @physacourses

mobile: +49 17645230846

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metabarcoding, microbial biodiversity, qiime

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