{"id":144,"name":"Reference-based RNA-Seq data analysis with Galaxy","description":"This tutorial covers the questions:\r\n- What are the steps to process RNA-Seq data?\r\n- How to identify differentially expressed genes across multiple experimental conditions?\r\n- What are the biological functions impacted by the differential expression of genes?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Check a sequence quality report generated by FastQC for RNA-Seq data\r\n- Explain the principle and specificity of mapping of RNA-Seq data to an eukaryotic reference genome\r\n- Select and run a state of the art mapping tool for RNA-Seq data\r\n- Evaluate the quality of mapping results\r\n- Describe the process to estimate the library strandness\r\n- Estimate the number of reads per genes\r\n- Explain the count normalization to perform before sample comparison\r\n- Construct and run a differential gene expression analysis\r\n- Analyze the DESeq2 output to identify, annotate and visualize differentially expressed genes\r\n- Perform a gene ontology enrichment analysis\r\n- Perform and visualize an enrichment analysis for KEGG pathways","communities":[],"elixirPlatforms":[],"doi":null,"fileLocation":"https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/ref-based/tutorial.html","fileName":"rna-seq","topics":["http://edamontology.org/topic_0102","http://edamontology.org/topic_3170","http://edamontology.org/topic_1775","http://edamontology.org/topic_3308","http://edamontology.org/topic_0203"],"keywords":["Galaxy","RNA-seq"],"audienceTypes":["Undergraduate","Graduate","Professional (initial)","Professional (continued)"],"audienceRoles":["Researchers","Life scientists","Biologists"],"difficultyLevel":"Novice","providedBy":[],"dateCreation":null,"dateUpdate":null,"licence":"CC-BY-4.0","maintainers":["https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=json"]}