{"author_name":"Jennifer Hillman-Jackson, Melkeberhan Berhanu Degefa","author_url":"https://galaxy.training","description":"- Most tools that accept FASTQ data expect it to be in a specific FASTQ version: `.fastqsanger`. The `.fastqsanger` datatype must be assigned to each FASTQ dataset.  In order to do that:  - Watch the **[FASTQ Prep Illumina](http://vimeo.com/galaxyproject/fastqprep)** video for a complete walk-through. - Run **FastQC** first to assess the type.     - Run **FASTQ Groomer** if the data needs to have the quality scores rescaled.     - If you are certain that the quality scores are already scaled to Sanger Phred+33 (the result of an Illumina 1.8+ pipeline), the datatype `.fastqsanger` can be directly assigned. Click on the pencil icon {% icon galaxy-pencil %} to reach the **Edit Attributes** form. In the center panel, click on the  Datatype  tab, enter the datatype `.fastqsanger`, and save. - Run **FastQC** again on the entire dataset *if any changes were made to the quality scores* for QA.  **Other tips**  - If you are not sure what type of FASTQ data you have (maybe it is not Illumina?...","height":400,"html":"<iframe width=\"560\" height=\"400\" scrolling=\"yes\" sandbox=\"allow-same-origin allow-scripts\" title=\"FAQ: How to format fastq data for tools that require .fastqsanger format?\" src=\"https://training.galaxyproject.org/training-material/faqs/galaxy/datatypes_fastq_format.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: How to format fastq data for tools that require .fastqsanger format?","type":"video","version":"1.0","width":560}