FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis.
- To use FastQC, upload your data in FASTQ format.
- Resources: FastQC Help Pages
NOTE: FastQC will determine the format that your FASTQ reads are in (PHRED33, Illumina, etc). The detected read type will be listed on the graphs outputted. As an additional note, PHRED33 is exactly the same as Solexa / Illumina 1.9, thus if using these FASTQ files in downstream apps such as the FASTX toolkit, you will need to select PHRED33 for your format type if your reads are in Solexa/Illumina 1.9 format.
All files are located in the Community Data directory of the iPlant Discovery Environment at the following path:
Community Data > iplantcollaborative > example_data > fastqc
Use SRR070572_hy5.fastq as test data.
Parameters Used in App
When the app is run in the Discovery Environment, use the following parameters with the above input file(s) to get the output provided in the next section below.
- Default parameters only, no further configuration needed.
All outputs can be found in the directory Community Data > iplantcollaborative > example_data > fastqc
- Expect the following as outputs (in addition to the logs generated for all analyses)
- Directory with name of the input file used
- zipped instance of this directory
- Within the directory generated (in the case of the above example, it should read SRR070572_hy5_fastqc), there are two sub directories and several files.
- Sub directories are icons (not scientifically necessary) and images.
- Files generated in this directory are the following: fastqc_data.txt, fastqc_report.html and summary.txt
- Within the image directory, the following files should be available: