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DTSTAMP:20260706T181506Z
UID:b60995af-4b33-47d2-bff8-59670e6797b1
DTSTART:20260305T090000Z
DTEND:20260306T130000Z
DESCRIPTION:Educators:\nPaul Zierep (RBC)\, Daniel Wibberg (CAU)\, Nils Kle
 inbölting\, Tom Tubbesing (BiGi)\n\nDate:\n5th-6th March 2025 \n10:00 - 1
 4:00 CET\n\nLocation:\nOnline\n\nContents:\nThe aim of this two-day worksh
 op is to offer participants a clear and comprehensive introduction to the 
 bioinformatics tools and techniques used for analyzing next-generation seq
 uencing (NGS) data from microbial communities. Blending informative lectur
 es with practical\, hands-on tutorials\, the course enables participants t
 o work with real datasets in real time using the intuitive usegalaxy.eu pl
 atform.\n\nTo ensure everyone has a consistent starting point\, the first 
 day begins with a focused introduction to the Galaxy environment. Followin
 g this\, students will learn the theoretical principles of amplicon sequen
 cing and analysis\, as well as gaining experience with essential steps suc
 h as data pre-processing\, quality control\, and error handling within Gal
 axy.\n\nThe second day shifts the focus to whole metagenome sequencing (WG
 S). After highlighting the unique advantages and limitations of WGS metage
 nomics\, participants will explore key methods\, including assembly\, binn
 ing\, as well as taxonomic and functional analyses using a range of bioinf
 ormatics tools. A brief demonstration of the Metagenomics Toolkit will be 
 provided\, after which participants will carry out the standard WGS metage
 nomics workflow in Galaxy themselves. The workshop concludes with an intro
 duction to metagenomics data submission\n\nLearning goals:\n\nConfidently 
 use the Galaxy platform for computational analyses\nUnderstand the princip
 les and workflows of metagenomics and amplicon sequencing\nGain practical 
 experience in processing\, analyzing\, and interpreting microbial communit
 y NGS data\nPerform assembly\, binning\, and functional annotation of meta
 genomic datasets\nUnderstand how metagenomics data is submitted into publi
 c repositories\nPrerequisites:\nThis course is for beginners with some kno
 wledge of microbiology or NGS data but no prior experience in computationa
 l analysis. There will be no participation fee.\n\nKeywords:\nMetagenomics
 \, Galaxy\, Amplicon\n\nTools:\nGalaxy\, Metagenomics Toolkit\, Dada2
SUMMARY:Galaxy Metagenome Training Course 2026
URL;VALUE=URI:https://www.denbi.de/training-courses-2026/2018-galaxy-metage
 nome-training-course-2026
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