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DTSTAMP:20260808T161057Z
UID:7dc476d7-972d-4809-8d06-5f1c3b1a8176
DTSTART:20240318T080000Z
DTEND:20240319T160000Z
DESCRIPTION:Educators:\nAnika Erxleben-Eggenhofer (University of Freiburg\,
  European Galaxy Team\, de.NBI RBC)\nJochen Blom\, Sven Griep\, Oliver Rup
 p (Justus Liebig University Giessen\, de.NBI BIGI)\nFabienne Thelen\, Patr
 ick Barth (Justus Liebig University Giessen\, RTG2355)\n\nDate:\n18-19 Mar
 ch 2024\n\nLocation:\nJustus-Liebig-University Giessen\, Heinrich-Buff-Rin
 g 58\, Room 0024a\n\nContents:\nGalaxy is a worldwide open source project 
 with the European Galaxy Server being the biggest instance in Europe with 
 more than 85\,000 users. The Freiburg Galaxy Team is hosting this server i
 n Freiburg. Through Galaxy as a gateway\, we are offering free access to a
  huge computational cloud infrastructure\, databases and 3\,200 bioinforma
 tics tools which can be used by a graphical user interface instead of comm
 and-line. There is no need for programming or informatics skills - you jus
 t need a web browser (e.g. chrome or firefox).\n\nWe will have demonstrati
 ons and work together on detailed E-learning step-by-step-instructions of 
 the Galaxy Training Material.\n\nMonday\, 18.03.2024\, 09:00 – 16:00:\nI
 ntroduction to Galaxy Analyses\n\nQuestions:\n\nHow to use Galaxy?\nHow to
  get from peak regions to a list of gene names?\nObjectives:\n\nFamiliariz
 e yourself with the basics of Galaxy\nLearn how to obtain data from extern
 al sources\nLearn how to run tools\nLearn how histories work\nLearn how to
  create a workflow\nLearn how to share your work\nTuesday\, 19.03.2024\, 0
 9:00 – 16:00: \nReference-based RNA-Seq data analysis\n\nQuestions:\n\nW
 hat are the steps to process RNA-Seq data?\nHow to identify differentially
  expressed genes across multiple experimental conditions?\nWhat are the bi
 ological functions impacted by the differential expression of genes?\nObje
 ctives:\n\nCheck a sequence quality report generated by FastQC for RNA-Seq
  data\nExplain the principle and specificity of mapping of RNA-Seq data to
  an eukaryotic reference genome\nSelect and run a state of the art mapping
  tool for RNA-Seq data\nEvaluate the quality of mapping results\nDescribe 
 the process to estimate the library strandness\nEstimate the number of rea
 ds per genes\nExplain the count normalization to perform before sample com
 parison\nConstruct and run a differential gene expression analysis\nAnalyz
 e the DESeq2 output to identify\, annotate and visualize differentially ex
 pressed genes\nPerform a gene ontology enrichment analysis\nPerform and vi
 sualize an enrichment analysis for KEGG pathways\nLearning goals:\nSee abo
 ve \n\nPrerequisites:\n- You do not need to bring your laptop\, we have de
 sktop computers there. You need to use your university computer accounts.\
 n- Register to the European Galaxy Server\n\nKeywords:\nGalaxy\, RNAseq\n\
 nTools:\nGalaxy
LOCATION:Gießen
SUMMARY:de.NBI / RTG2355 Galaxy Training Course - RNAseq Analysis
URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1697-de-nbi-rtg235
 5-galaxy-training-course-rnaseq-analysis
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