6.3 Fetch public data from miRBase and SRA

miRBase and MirGeneDB

Download Reference microRNA data from miRBase

First, let’s create a folder to store the reference datasets:

mkdir -p $HOME/workshop/2024-2/session6_smallRNAseq/data/references

Now move to the reference folder and download the miRBase datasets using wget in an Interactive session or (see below) use a PBS Pro script.

OPTION #1: Use interactive session to run the following commands:

Fetch microRNA mature sequences:

wget https://mirbase.org/download/mature.fa

Fetch hairpin sequences:

wget https://mirbase.org/download/hairpin.fa

Fetch the genomic coordinated for precursors and mature sequences:

wget https://mirbase.org/download/hsa.gff3

OPTION #2: submit the following PBS Pro script to the cluster. Before running the script, create a ‘reference’ folder (i.e., /myteam/data/reference/ ).

#!/bin/bash -l
#PBS -N nfsmrnaseq
#PBS -l select=1:ncpus=2:mem=4gb
#PBS -l walltime=2:00:00

cd $PBS_O_WORKDIR

wget https://www.mirbase.org/download/hairpin.fa
wget https://www.mirbase.org/download/mature.fa
wget https://www.mirbase.org/download/hsa.gff3

Fetch public small RNA-seq data

Today we will download small RNA-seq data from the ENA (European Nucleotide Archive).

Manuscript: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1004188

STEP 1 : Find where the data is available for download in the above manuscript

Click on the link above and search for “accession”, “Data availability”, “BioProject ID”, “GEO accession code” or “Array Express” identifier.
If, only an Array Express accession code is available, then go to https://www.ebi.ac.uk/biostudies/arrayexpress and search for the Array Express identifier. Browse the database to located the identifier for ENA.
Hint: it will take a couple of clicks to open multiple pages to find the identifier for the data deposited in ENA.

Which is the Array express identifier noted in the above manuscript and to which ENA identifier it relates to?

Solution

Array Express: E-MTAB-2206 , and ENA identifier: ERP004592

STEP 2: Search for data for the identified BioProject ID at the European Nucleotide Archive (ENA) database

Go to https://www.ebi.ac.uk/ena/browser/home and search for the BioProject ID using the search option on the top right corner and click on ‘view’:

STEP3: (if applicable) select one or more BioProject submission(s). Click on the first listed BioProject ID:

STEP4: Select FASTQ files (tick boxes next to the file names) and click on “Get download script”. This will download a bash script (e.g., )

STEP 5: Open the downloaded ena file using TextEdit (NotePad or similar app). The downloaded script looks like this:

wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/044/SRR20630344/SRR20630344.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/049/SRR20630349/SRR20630349.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/055/SRR20630355/SRR20630355.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/047/SRR20630347/SRR20630347.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/050/SRR20630350/SRR20630350.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/042/SRR20630342/SRR20630342.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/053/SRR20630353/SRR20630353.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/043/SRR20630343/SRR20630343.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/039/SRR20630339/SRR20630339.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/056/SRR20630356/SRR20630356.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/054/SRR20630354/SRR20630354.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/041/SRR20630341/SRR20630341.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/045/SRR20630345/SRR20630345.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/051/SRR20630351/SRR20630351.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/040/SRR20630340/SRR20630340.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/048/SRR20630348/SRR20630348.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/052/SRR20630352/SRR20630352.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/046/SRR20630346/SRR20630346.fastq.gz

Now using the TextEdit or NotePad app, we will add the following lines to the top of the script - copy and paste the following to the above script:

#!/bin/bash -l
#PBS -N ENA_data_download
#PBS -l select=1:ncpus=2:mem=4gb
#PBS -l walltime=24:00:00

#work on current directory (folder)
cd $PBS_O_WORKDIR

You should have this:

#!/bin/bash -l
#PBS -N nfrnaseq_test
#PBS -l select=1:ncpus=2:mem=4gb
#PBS -l walltime=24:00:00

#work on current directory (folder)
cd $PBS_O_WORKDIR

wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/044/SRR20630344/SRR20630344.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/049/SRR20630349/SRR20630349.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/055/SRR20630355/SRR20630355.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/047/SRR20630347/SRR20630347.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/050/SRR20630350/SRR20630350.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/042/SRR20630342/SRR20630342.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/053/SRR20630353/SRR20630353.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/043/SRR20630343/SRR20630343.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/039/SRR20630339/SRR20630339.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/056/SRR20630356/SRR20630356.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/054/SRR20630354/SRR20630354.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/041/SRR20630341/SRR20630341.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/045/SRR20630345/SRR20630345.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/051/SRR20630351/SRR20630351.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/040/SRR20630340/SRR20630340.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/048/SRR20630348/SRR20630348.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/052/SRR20630352/SRR20630352.fastq.gz
wget -nc ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/046/SRR20630346/SRR20630346.fastq.gz

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

\\hpc-fs\home\

Mac: open file finder and press “command” + “k” to open prompt, then type the below command, and then browse to the /workshop/2024-2/session4_RNAseq/data/mydata folder

smb://hpc-fs/home/

Drag and drop the script into the /workshop/2024-2/session4_RNAseq/data/mydata folder

STEP 7: We will ensure the copied file from our laptop / desktop does not have unwanted characters. Let’s move to the data folder:

cd $HOME/workshop/2024-2/session4_RNAseq/data/mydata

How to use the dos2unix tool? Type:

dos2unix --help

Now let’s run dos2unix conversion. Note the filename may vary, so adjust the filename as appropriate.

dos2unix -n ena-file-download-selected-files-20241013-1123.sh ena-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:

qsub ena-file-download-selected-files-20241013-1123.pbs

Monitor progress of job:

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:

Data Download

For this approach you will need to have a list of SRA identifiers. For example, for the human Huntington Disease study the list of identifiers are:

ERR409878
ERR409879
ERR409880
ERR409881
ERR409882
ERR409883
ERR409884
ERR409885
ERR409886
ERR409887
ERR409888
ERR409889
ERR409890
ERR409891
ERR409892
ERR409893
ERR409894
ERR409895
ERR409896
ERR409897
ERR409898
ERR409899
ERR409900

The above list has been already prepared for you, fetch a copy of the list of IDs into your “my data” folder created previously:

cp /work/training/2024/smallRNAseq/data/human_disease/SRA_Acc_List.txt $HOME/workshop/2024-2/session6_smallRNAseq/data/mydata

Now let’s also get a copy of the “launch_fetch_SRA.pbs” script into your “my data” folder:

cp /work/training/2024/smallRNAseq/data/human_disease/launch_fetch_SRA.pbs $HOME/workshop/2024-2/session6_smallRNAseq/data/mydata

Check the content of the script:

cat launch_fetch_SRA.pbs

Use singularity container:

singularity run -B $PWD /work/training/tools/sif_lib/sra-tools_v2.10.7.sif \
  fastq-dump \
  --split-files \
  --outdir $HOME/workshop/2024-2/session6_smallRNAseq/data/mydata \
  --option-file sra ids.txt

deprecated

#!/bin/bash -l
#PBS -N rna
#PBS -l select=1:ncpus=1:mem=8gb
#PBS -l walltime=24:00:00

#Enable the container modules
source /pkg/shpc/enable

#Load the SRA-TOOLS module
module load sra-tools/3.0.5--h9f5acd7_1

#work on current directory (folder)
cd $PBS_O_WORKDIR
for i in $(cat SRR_Acc_List.txt);
do
  echo $i
  prefetch.3 $i
  fasterq-dump.3 --split-files $i
done
gzip *fastq

submit PBS script to the HPC cluster

qsub launch_fetch_SRA.pbs

monitor job progression

qjobs