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DTSTAMP:20260710T014953Z
UID:92d1f682-8942-4689-bfe1-9fdff4d8d649
DTSTART:20251210T080000Z
DTEND:20251212T160000Z
DESCRIPTION:Educators:\nProf. Dr. Boas Pucker\, Nancy Choudhary\, Shakuntha
 la Natarajan\, Samuel Nestor Meckoni\, Julie A. V. S. De Oliveira (Associa
 ted Partner)\n\nDate:\n10.12.2025-12.12.2025\n\nLocation:\nKirschallee 1\,
  53115 Bonn\, Germany\n\nContents:\nGain deeper biological insights from g
 enome data in the course "From Gene Models to Biological Insights – Func
 tional Annotation". This course focuses on turning structural gene annotat
 ions into meaningful biological interpretations through rigorous quality c
 ontrol and comprehensive functional annotation. Participants will learn ho
 w to assess annotation quality using tools like BUSCO\, identify and class
 ify functional elements with InterProScan\, KIPEs\, MYB_annotator\, and tR
 NA-scanSE\, and detect repetitive elements using EDTA. The course also cov
 ers the construction and visualization of gene trees with IQ-TREE3 and iTO
 L\, enabling participants to analyze gene family evolution and gene duplic
 ation events. Designed for those with basic command-line experience\, this
  course is ideal for researchers aiming to connect genome annotations to b
 iological function and evolutionary context. Participation in the course 
 “Plant Genome Sequence Assembly and Annotation” is highly recommended 
 as a foundation.\n\nLearning goals:\nHow to get from gene models to biolog
 ical insights about gene functions\n\nPrerequisites:\nBasic experience wit
 h command line\; Participation in our course "Plant Genome Sequence Assemb
 ly and Annotation” is highly recommended\n\nKeywords:\nplant genomics\, 
 gene functions\, phylogenetic analysis\, gene duplication\n\nTools:\nBUSCO
 \, EDTA\, InterProScan\, tRNA-scanSE\, KIPEs\, MYB_annotator\, IQ-TREE3\, 
 iTOL
LOCATION:Kirschallee\,  Kirschallee
SUMMARY:From Gene Models to Biological Insights - Functional Annotation
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1949-from-gene-mod
 els-to-biological-insights-functional-annotation
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