Today’s we will learn to download FASTQ files from a published paper:
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Click on the link above and search for “accession”, “Data availability”, “BioProject ID” or “GEO accession code”
If, only a GEO accession code is available, go to the GEO database and look for BioProject ID - Note, ENA (Step2) requires this identifier to download the data.
Which BioProject ID host the data used in the above manuscript?
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STEP 6: Save the file and now let’s transfer it to the HPC. See below:
NOTE: To proceed, you need to be on QUT’s WiFi network or signed via VPN.
Windows PC: open file finder and type the address below to connect to your home directory in the HPC, and then browse to the /workshop/2024-2/session4_RNAseq/data/mydata folder
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STEP 7: We will ensure the copied file from our laptop / desktop does not have unwanted characters. Let’s move to the data folder:
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cd #HOME$HOME/workshop/2024-2/session4_RNAseq/data/humanmydata |
How to use the dos2unix tool? Type:
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dos2unix -n ena-file-download-selected-files-20241013-1123.sh ena-file-download-selected-files-20241009-0005ena-file-download-selected-files-20241013-1123.pbs |
Note: If you create a file using Microsoft Excel, it is likely that it will add ASCII characters, use dos2unix to remove such characters.
Now we are ready to submit to the HPC cluster the script to download FASTQ files:
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qsub ena-file-download-selected-files-2024100920241013-00051123.txtpbs |
Monitor progress of job:
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qjobs |
Note: Downloading the above datasets will take about ~50 minutes.
Find in the link below alternative approaches to download data from SRA, BaseSpace or use the nf-core/fetchngs pipeline: