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DTSTAMP:20260618T094131Z
UID:b92822d5-eb90-462c-a82d-ce0e4b13cfdd
DTSTART:20200218T090000Z
DTEND:20200219T170000Z
DESCRIPTION:Educators:\nLaura Carroll\, Nicolai Karcher\, Alessio Milanese\
 , Jakob Wirbel\, Georg Zeller (HD-HuB)\n\nDate:\n18/02/2020 - 19/02/2020\n
 09:00 - 17:00\n\nLocation:\nATC Computer Training Lab\, European Molecular
  Biology Laboratory (EMBL)\n\nContents:\nShotgun metagenomic sequencing ap
 proaches are being increasingly employed to characterize the human microbi
 ome. Such complex metagenomics data sets are a rich source for generating 
 functional hypotheses about the roles that gut microbiota play in human he
 alth and disease. In this bioinformatics course\, participants will be exp
 osed to computational and statistical approaches for the analysis of shotg
 un metagenomic data. Through a combination of theory-centric lectures and 
 hands-on\, practical exercises\, the course will cover topics such as taxo
 nomic profiling (i.e.\, determining “who’s there” in a microbial com
 munity)\, functional analysis (i.e.\, broadly assessing the functional and
  metabolic potential of a microbial community\, and also mining for specif
 ic gene families such as toxins)\, and comparative metagenomics (i.e.\, id
 entifying taxa or microbial functions associated with a disease of interes
 t).\n\nLearning goals:\n- Pre-processing and quality control of Illumina m
 etagenomic data\n- Taxonomic profiling\n- Exploratory analyses and visuali
 zation methods for metagenomic data\n- Functional metagenomic profiling (u
 sing both general purpose databases and targeted approaches)\n- Comparativ
 e analysis of metagenomic data\n\nPrerequisites:\n- Familiarity with the L
 inux command line interface (e.g.\, running programs from the command line
 \, creating and moving between directories\, accessing a remote host via S
 SH)\n- Basic knowledge of the R programming language (e.g.\, loading data 
 into R\, manipulating data frames\, creating basic plots)\n\nKeywords:\nMe
 tagenomics
LOCATION:Heidelberg
SUMMARY:Metagenomic Bioinformatics Analysis 
URL;VALUE=URI:https://www.denbi.de/training/773-metagenomic-bioinformatics-
 analysis
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