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Aims:

  • Implement an end-to-end bioinformatics workflow that is reproducible, robust, scalable and compute infrastructure agnostic

  • Leverage from the host plant antiviral response pathway to increase sensitivity and specificity of pathogen detections

  • Prevent or minimise the reporting of cross-sample contaminations owing to index hopping events (false positive detections)

Pre-requisites

Install nextflow: Nextflow nf nextflow quick start

Database

Custom virus database, please do not distribute to third parties. Location:

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Code Block
makeblastdb -in test.fasta -parse_seqids -dbtype nucl

Method

We will use two nextflow pipelines to process the Virome data, initially, we run trimgalore to filter out poor quality reads/bases and remove adapter sequences. Then we run VirReport to assess the presence of viruses and viroids.

1) Quality Control of Raw Files

First generate an ‘index.csv’ file that contains the Sample ID and path to the raw data file:

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Code Block
qstat -u USERNAME

2) Diagnosis of plant viruses and viroids

Installing VirReport

The open-source VirReport code is available at https://github.com/eresearchqut/VirReport

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Note: the above command will store a cached copy of VirReport at '$HOME/.nextflow/NXF_SINGULARITY_CACHEDIR'

Running VirReport

  1. Sample index file

To run VirReport it is required to create an 'index_samples.csv` that specifies the sample ID, path to raw data, minimal length, and the maximum length of reads to be used for diagnosis. For example:

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You can modify the above template with your own samples. Note, the files above can be the trimgalore processed files.

Code Block
sampleid,samplepath,minlen,maxlen
CB,/work/img/test/trimgalore/results/Trim_Galore/CB_trimmed.fq.gz,21,22
CM,/work/img/test/trimgalore/results/Trim_Galore/CM_trimmed.fq.gz,21,22
CP,/work/img/test/trimgalore/results/Trim_Galore/CP_trimmed.fq.gz,21,22
TB1,/work/img/test/trimgalore/results/Trim_Galore/TB1_trimmed.fq.gz,21,22
TBG,/work/img/test/trimgalore/results/Trim_Galore/TBG_trimmed.fq.gz,21,22
TM,/work/img/test/trimgalore/results/Trim_Galore/TM_trimmed.fq.gz,21,22
TPS,/work/img/test/trimgalore/results/Trim_Galore/TPS_trimmed.fq.gz,21,22
TP,/work/img/test/trimgalore/results/Trim_Galore/TP_trimmed.fq.gz,21,22
TR1,/work/img/test/trimgalore/results/Trim_Galore/TR1_trimmed.fq.gz,21,22
TR2,/work/img/test/trimgalore/results/Trim_Galore/TR2_trimmed.fq.gz,21,22

2. Run VirReport using a PBS Pro script

Define nextflow configurations if different from provided template:

Code Block
includeConfig 'conf/base.config'

params {
  outdir = 'results'
  indexfile = 'index.csv'
  blast_db_dir = '/lustre/work-lustre/hia_mt18005/blastDB/30112021'
  blast_local_db_path = '/work/img/databases/PVirDB/PVirDB_ver20211109.fasta'
  targets = false
  targets_file = 'Targetted_Viruses_Viroids.txt'
  help = false
  cap3_len = '20'
  orf_minsize = '150'
  orf_circ_minsize = '150'
  blastn_evalue = '0.0001'
  blastp_evalue = '0.0001'
  blastn_method = 'megablast'
  blastp = false
  spades = false
  spadeskmer = '9 11 13 15 17 19 21'
  blastlocaldb = false
  ictvinfo = 'ICTV_taxonomy_MinIdentity_Species.tsv'
  contamination_detection = false
  contamination_flag = '0.01'
  contamination_detection_method = 'FPKM'
}

process.container = "ghcr.io/eresearchqut/virreport:v1.0.0"

manifest {
  name          = "eresearchqut/VirReport"
  author        = "Roberto Barrero, Maely Gauthier, Desmond Schmidt, Craig Windell"
  defaultBranch = "main"
  description   = "VirReport is designed to help phytosanitary diagnostics of viruses and viroid pathogens in quarantine facilities. It takes small RNA-Seq samples as input."
  version       = "v1.0.0"
}

Prepare a PBS Pro submission script:

Code Block
#!/bin/bash -l
#PBS -N nftrimgalore 
#PBS -l walltime=24:00:00
#PBS -l select=1:ncpus=1:mem=5gb

cd $PBS_O_WORKDIR
NXF_OPTS='-Xms1g -Xmx4g'
module load java

#run netflow pipeline
nextflow run eresearchqut/VirReport -profile singularity --indexfile index.csv