{"id":127,"name":"Quality Control with Galaxy","description":"This tutorial covers the questions:\r\n- How to perform quality control of NGS raw data?\r\n- What are the quality parameters to check for a dataset?\r\n- How to improve the quality of a dataset?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Assess short reads FASTQ quality using FASTQE 🧬😎 and FastQC\r\n- Assess long reads FASTQ quality using Nanoplot and PycoQC\r\n- Perform quality correction with Cutadapt (short reads)\r\n-  Summarise quality metrics MultiQC\r\n- Process single-end and paired-end data","communities":[],"elixirPlatforms":[],"doi":null,"fileLocation":"https://training.galaxyproject.org/training-material/topics/sequence-analysis/tutorials/quality-control/tutorial.html","fileName":"quality-control","topics":["http://edamontology.org/topic_0091","http://edamontology.org/topic_3168"],"keywords":["Quality Control"],"audienceTypes":["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"]}