How Much is The Fish? – Unlocking the Secrets of Metabarcoding and Mastering Sequence Data Management (Metabarcoding 1) (DSC-2024-05)


11.11.2024


09:00 AM - 12:00 PM


Trainings


Speaker:
Sarah Büker
Data Science Center, University of Bremen

Location:
Online (Zoom)

Number of Participants: No limit

Language: English






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BACKGROUND

Why is Metabarcoding important? Due to the rapid success and the decreasing costs of Next Generation Sequencing (NGS), metabarcoding approaches become interesting for an increasing width of sciences. Whether you are interested in the human biome, species conservation or ancient DNA from Antarctic sediments: Metabarcoding is cheap, fast and innovative.

Nevertheless it is prone to errors, the vast number of different methods and tools is overwhelming and best practices still have to be established.

WORKSHOP GOAL

Participants will get an overview about the method of metabarcoding, whether the research interest is in ecology, medical sciences or microbiology. This course is suitable for researchers and students with and without prior knowledge of metabarcoding, as a strong focus will be on data competences and important concepts like FAIR data, metadata and data management for sequence data.

This course is number 1 out of two courses about metabarcoding, which can be completed individually or as a whole.

Part 1: Overview & Data Management for Metabarcoding
(this course, online lecture)
Part 2: Analysis and Visualization with Galaxy
(2 days, hands-on and on campus)

WORKSHOP CONTENT

The following topics will be addressed during the course:
  • What is metabarcoding?
  • Application in different sciences
  • Advantages & disadvantages of metabarcoding
  • Overview of different approaches and analysis tools
  • Databases
  • Data management for metabarcoding & metadata
  • FAIR data
  • Useful tools for metabarcoding

TARGET AUDIENCE & PRIOR KNOWLEDGE

This course is suitable for participants with no prior knowledge about metabarcoding and for everyone who wants to learn about FAIR data, data management, and useful tools especially for metabarcoding approaches and other sequence data.

TECHNICAL REQUIREMENTS

Working internet connection and access to Zoom.


ABOUT THE TRAINER

Sarah Büker works as Data Scientist at the Data Science Center (University of Bremen). She holds a Bachelor’s degree in Biological Sciences of the University of Osnabrück and a Master’s degree in Marine Environmental Sciences of the University of Oldenburg. In her studies she specialized on ecology and environmental DNA approaches.




The Data Science Center is funded by:
Logo funding by BMBF Logo funding by EU