Dear all,

 

 

 

registration is now open for the 3rd edition of our "Eukaryotic Metabarcoding" 
Workshop.

 

 

 

https://www.physalia-courses.org/courses-workshops/course4/

 

 

 

 

 

 

 

 

Berlin, 4-8 March 2019, Berlin (Germany)

 

 

 

 

 

 

 

 

 

 

 

 

 

Instructors:

 

 

 

 

 

 

 

Dr. Vasco Elbrecht (University of  Guelph, Canada)

 

 

Dr. Owen S. Wangensteen (University of Tromsø, Norway)

 

 

 

 

 

 

 

 

 

 

 

 
Course Overview

Metabarcoding techniques are a set of novel genetic tools for qualitatively and 
quantitatively assessing biodiversity of natural communities. Their potential 
applications include (but are not limited to) accurate water quality, soil 
diversity assessment, trophic analyses of digestive contents, diagnosis of 
health status of fisheries, early detection of non-indigenous species, studies 
of global ecological patterns and biomonitoring of anthropogenic impacts. This 
workshop gives an overview of metabarcoding procedures with an emphasis on 
practical problem-solving and hands-on work using analysis pipelines on real 
datasets. After completing the workshop, students should be in a position to 
(1) understand the potential and capabilities of metabarcoding, (2) run 
complete analyses of metabarcoding pipelines and obtain diversity inventories 
and ecologically interpretable data from raw next-generation sequence data and 
(3) design their own metabarcoding projects, including bioinformatic data 
analysis and planning of laboratory work. All course materials (including 
copies of presentations, practical exercises, data files, and example scripts 
prepared by the instructing team) will be provided electronically to 
participants.

 
Intended audience

This workshop is mainly aimed at researchers and technical workers with a 
background in ecology, biodiversity or community biology who want to use 
molecular tools for biodiversity research and at researchers in other areas of 
bioinformatics who want to learn ecological applications for 
biodiversity-assessment. In general, it is suitable for every researcher who 
wants to join the growing community of metabarcoders worldwide. This workshop 
will review mostly techniques and software useful for eukaryotic metabarcoding. 
Other workshops focused on procedures currently used in microbial metabarcoding 
will be available from Physalia-courses.

 
Teaching format

The workshop is delivered over ten half-day sessions (see the detailed 
curriculum below). Each session consists of roughly a one hour lecture followed 
by two hours of practical exercises, with breaks at the organizer’s discretion.

 
Assumed background

No programming or scripting experience is necessary, but some previous 
expertise using the Linux console and/or R will be most welcome. All examples 
will be run either in Linux or Mac environments, with some ssh connections to 
remote servers. For Windows users, a virtual box running Linux under Windows 
and/or the installation of an ssh client (e.g. PuTTY) will be needed. For 
MacOSX systems, installation of some additional Python packages might be needed 
for running the OBITools software suite. The syllabus has been planned for 
people which have some previous experience running simple commands from a 
terminal in Linux or Mac and using the R environment (preferently RStudio) for 
performing basic plots and statistical procedures. You will need to have a 
laptop with Python 2.7 installed for running OBITools, but no experience with 
Python is necessary.

 

 

 

 

 

 

 

 

 

 

 

 

For more information about the course, please visit our website: 
https://www.physalia-courses.org/courses-workshops/course4/

 

 

 

 

 

 

 

 

 

 

 

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

 

 

 

 

 

 

 

 

 

 

 

Best regards,

 

 

 

Carlo

 

 

 



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

Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

i...@physalia-courses.org

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

Twitter: @physacourses

mobile: +49 15771084054

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