{"author_name":"Jennifer Hillman-Jackson, Garima Singh","author_url":"https://galaxy.training","description":"- Run **FastQC** on your data to make sure the format/content is what you expect. Run more QA as needed.      - Search [GTN](https://training.galaxyproject.org/) tutorials with the keyword \u201cqa-qc\u201d for examples.     - Search [Galaxy Help](https://help.galaxyproject.org/) with the keywords \u201cqa-qc\u201d and \u201cfastq\u201d for more help. - How to create a single smaller input. Search the tool panel with the keyword \u201csubsample\u201d for tool choices. - How to create multiple smaller inputs. Start with **Split file to dataset collection**, then merge the results back together using a tool specific for the datatype. Example: BAM results? Use **MergeSamFiles**. ","height":400,"html":"<iframe width=\"560\" height=\"400\" scrolling=\"yes\" sandbox=\"allow-same-origin allow-scripts\" title=\"FAQ: Working with very large fastq datasets\" src=\"https://training.galaxyproject.org/training-material/faqs/galaxy/datasets_working_with_fastq.html?utm_source=galaxy-help&utm_medium=oembed&utm_campaign=oembed\" frameborder=\"0\" allowfullscreen></iframe>","provider_name":"Galaxy Training Network (GTN)","provider_url":"https://galaxy.training","thumbnail_height":400,"thumbnail_url":"https://training.galaxyproject.org/training-material/assets/images/GTNLogo1000.png","thumbnail_width":560,"title":"FAQ: Working with very large fastq datasets","type":"video","version":"1.0","width":560}