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README.md

VirulenceFinder Docker Image

A docker image that contains VirulenceFinder, a tool for identifying virulence factors in E. coli isolates from reads or assemblies

Link to StaPH-B DockerHub repository

Main tool:

Additional tools:

  • python 3.8.10
  • biopython 1.73
  • kma 1.0.0
  • ncbi-blast+ 2.9.0

Version information

VirulenceFinder version: 2.0.4 https://bitbucket.org/genomicepidemiology/virulencefinder/src/2.0.4/ made on 2020-02-06

VirulenceFinder database version: commit f678bdc15283aed3a45f66050d2eb3a6c9651f3f made on 2023‑05‑03. Link to commit history

Requirements

  • Docker or Singularity
  • E. coli raw reads (fastq.gz) or assembly (fasta)
    • Illumina, Ion Torrent, Roche 454, SOLiD, Oxford Nanopore, and PacBio reads are supported. (I've only tested Illumina reads)

Usage

usage: virulencefinder.py [-h] -i INFILE [INFILE ...] [-o OUTDIR] [-tmp TMP_DIR] [-mp METHOD_PATH] [-p DB_PATH] [-d DATABASES] [-l MIN_COV] [-t THRESHOLD] [-x] [-q]

optional arguments:
  -h, --help            show this help message and exit
  -i INFILE [INFILE ...], --infile INFILE [INFILE ...]
                        FASTA or FASTQ input files.
  -o OUTDIR, --outputPath OUTDIR
                        Path to blast output
  -tmp TMP_DIR, --tmp_dir TMP_DIR
                        Temporary directory for storage of the results from the external software.
  -mp METHOD_PATH, --methodPath METHOD_PATH
                        Path to method to use (kma or blastn)
  -p DB_PATH, --databasePath DB_PATH
                        Path to the databases
  -d DATABASES, --databases DATABASES
                        Databases chosen to search in - if non is specified all is used
  -l MIN_COV, --mincov MIN_COV
                        Minimum coverage
  -t THRESHOLD, --threshold THRESHOLD
                        Minimum threshold for identity
  -x, --extented_output
                        Give extented output with allignment files, template and query hits in fasta and a tab seperated file with gene profile results
  -q, --quiet

Notes and Recommendations

  • You do not need to supply a database or use the -p or -d flags
    • Database is included in the image and is in the default/expected location within the image filesystem: /database
    • (NOT RECOMMENDED) If you do need to use your own database, you will need to first index it with kma and use the virulencefinder.py -p flag. You can find instructions for this on the VirulenceFinder Bitbucket README. kma is included in this docker image for database indexing.
    • VirulenceFinder does NOT create an output directory when you use the -o flag. You MUST create it beforehand or it will throw an error.
    • Default % Identity threshold: 90%. Adjust with -t 0.95
    • Default % coverage threshold: 60%. Adjust with -l 0.70
    • Use the -x flag (extended output) if you want the traditional/legacy VirulenceFinder output files results_tab.tsv results.txt Virulence_genes.fsa Hit_in_genome_seq.fsa. Otherwise you will need to parse the default output file data.json for results
    • (RECOMMENDED) Use raw reads due to the increased sensitivity (without loss of specificity) and the additional information gleaned from KMA output (specifically the depth metric). You also save time from having to assemble the genome first. [CITATION NEEDED, PROBABLY THE KMA PAPER]
  • Querying reads:
    • This will run VirulenceFinder with kma (instead of ncbi-blast+)
    • Only one of the PE read files is necessary. There is likely little benefit to using both R1 and R2. It will take longer to run if you use both R1 and R2 files.
  • Querying assemblies:
    • This will run VirulenceFinder with ncbi-blast+
    • VirulenceFinder does not clean up after itself. tmp/ (which contains 7 different .xml files) will exist in the specified output directory

Example Usage: Docker

# download the image
$ docker pull staphb/virulencefinder:2.0.4

# input files are in my PWD
$ ls
E-coli.skesa.fasta  E-coli.R1.fastq.gz  E-coli.R2.fastq.gz

# make an output directory
$ mkdir output-dir-reads output-dir-asm

# query reads, mount PWD to /data inside container (broken into two lines for readabilty)
$ docker run --rm -u $(id -u):$(id -g) -v $PWD:/data staphb/virulencefinder:2.0.1 \
    virulencefinder.py -i /data/E-coli.R1.fastq.gz -o /data/output-dir-reads

# query assembly
$ docker run --rm -u $(id -u):$(id -g) -v $PWD:/data staphb/virulencefinder:2.0.1 \
    virulencefinder.py -i /data/E-coli.skesa.fasta  -o /data/output-dir-asm

Example Usage: Singularity

# download the image
$ singularity build virulencefinder.2.0.4.sif docker://staphb/virulencefinder:2.0.4

# files are in my PWD
$ ls
E-coli.skesa.fasta  E-coli.R1.fastq.gz  E-coli.R2.fastq.gz

# make an output directory
$ mkdir output-dir-reads output-dir-asm

# query reads; mount PWD to /data inside container
$ singularity exec --no-home -B $PWD:/data virulencefinder.2.0.4.sif \
    virulencefinder.py -i /data/E-coli.R1.fastq.gz -o /data/output-dir-reads

# assembly
$ singularity exec --no-home -B $PWD:/data virulencefinder.2.0.4.sif \
    virulencefinder.py -i /data/E-coli.skesa.fasta  -o /data/output-dir-asm