Aim:
This pipeline uses raw Oxford Nanopore (ONT) data to run the following processes:
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ONT raw data in FASTQ format (compressed) - if multiple FASTQ.gz files are available for the same sample all need to be in the same folder. DO NOT place raw files for different samples in the same folder.
Index file that provide information of the ONT data including: Sample ID, location of ONT raw files and a reference genome:
Code Block sampleid,sample_files,reference NC483,/mnt/work/phylo/OxfordNanopore/NC483_barcode96/*.fastq.gz,/mnt/work/phylo/OxfordNanopore/NC483_NC001477_reference_sequence.fasta
The index file (i.e., index.csv) can contain one or multiple samples information, one per line:
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Create an index.csv file using the following ‘run_create_index.sh’ script. Usage: bash run_create_index_ONT.sh SampleID /path/to/ONT/fastq_files.gz
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#!/bin/bash ## eResearch,QUT,3 November 2022 ## Script: Generates an index.csv file for input to the ONTprocessing nextflow workflow #Usage: run_create_index.sh SampleID /path/to/ONT/fastq_files ################################################################## SAMPLEID=$1 READSDIR=$2 REFERENCE='/mnt/work/phylo/OxfordNanopore/ET300_MT921572_reference_sequence.fasta' ################################################################## #Create index.csv file echo 'sampleid,sample_files,reference' > index.csv echo 'ONT' > filesTemp awk -v sample="$SAMPLEID" -v dir="$READSDIR" -v ref="$REFERENCE" '{print sample "," dir "*.fastq.gz," ref}' filesTemp >> index.csv rm filesTemp |
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Prepare a PBS pro submission script to run the ONTprocessing pipeline. An example launch.pbsscript is the following:
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#!/bin/bash -l #PBS -N ontprocessing #PBS -l select=1:ncpus=2:mem=4gb #PBS -l walltime=24:00:00 #Use the current directory to run the workflow cd $PBS_O_WORKDIR module load java NXF_OPTS='-Xms1g -Xmx4g' nextflow run eresearchqut/ontprocessing --samplesheet index.csv |
Create a folder where you analyses will be run, and place a copy of both launch.pbs and index.csv in the same folder. The submit the job to the HPC cluster:
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