VirusScan version 1.1
Author: Song Cao
Released on Apr 25, 2016
Please cite the following paper for VirusScan pipeline:
Song Cao, Michael C. Wendl, Matthew A. Wyczalkowski, Kristine Wylie, Kai Ye, Reyka Jayasinghe, Mingchao Xie, Song Wu, Beifang Niu, Robert Grubb III, Kimberly J. Johnson, Hiram Gay, Ken Chen, Janet S. Rader, John F. Dipersio, Feng Chen, and Li Ding, Divergent viral presentation among human tumors and adjacent normal tissues, Scientific Reports, 2016, 6:28294.
VirusScan pipeline is a fully automated and modular software package designed for the fast and accurate detection of known viruses from NGS data. It works on LSF job scheduler.
It was developed from VirusHunter pipeline, which focuses on identification of novel viruses for 454 reads. Compared to VirusHunter pipeline, VirusScan can work on Illlumina WGS, WES and RNA-Seq data and fastly return the discovery result of known viruses.
RepeatMasker: Download and install RepeatMasker from http://www.repeatmasker.org/RMDownload.html.
BLAST Module: Download and install BLAST from ftp://ftp.ncbi.nlm.nih.gov/blast/executables/LATEST/.
MySQL DBI: See http://search.cpan.org/dist/DBI/. DBI may be included with your Linux distribution by default. This is a Perl module that allows Perl to interact directly with MySQL database.
BioPerl: See http://bioperl.org/. BioPerl is used for parsing BLAST output files, and to construct taxonomy lineage tree from a taxonomy ID.
NCBI nt database: Download NT database from ftp://ftp.ncbi.nih.gov/blast/db/.
Viral nt database: Downlaod viral nt database from https://drive.google.com/open?id=0B-teklYT0wbDMEh6ZlhzMVo2QlE.
NCBI taxonomy database: Download NCBI taxonomy database from ftp://ftp.ncbi.nih.gov/pub/taxonomy/.
7.1. Create a directory to hold taxonomy file, e.g. taxdump_2016_06_20. Download taxdump.tar.gz file to the directory and Type "tar -xzf taxdump.tar.gz" to untar the file.
7.2. Create MySQL Database for the taxonomy information
Ask your MySQL database administrator to create a MySQL database for taxonomy information, and grant privileges on this database to a suitable username. For example, ask your MySQL database administrator to use following commands to create a database named "vs_taxondb" and grant all privileges to the user "vs_taxonUser" with the password "vs_password". $ mysql -u root -p CREATE DATABASE test_taxondb; GRANT ALL ON vs_taxondb.* TO 'vs_taxonUser'@'localhost' IDENTIFIED BY 'vs_password'; GRANT ALL ON vs_taxondb.* TO 'vs_taxonUser'@'%' IDENTIFIED BY 'vs_password'; QUIT;
6.3. Load gi-taxid into database for nucleotide sequences: download gi_taxid_nucl.dmp.gz to the directory unzip the file
Modify script "import_gi_taxid_nucl.sql " to replace the full path to the gi_taxid_nucl.dmp file with the actual full path in your local system at line " LOAD DATA LOCAL INFILE" in the script. The LOAD DATA INFILE statement reads rows from a text file into a table at a very high speed. The file name must be given as a literal string.
Load the gi_taxid_nucl.dmp content to a MySQL database using script " import_gi_taxid_nucl.sql" with the following command: Cat import_gi_taxid_nucl.sql | mysql -h hostname --user=username databaseName --pass=password &
Warning: This can take a very long time. It is better to run it as a background task.
perl VirusScan.pl < run_folder > < step_number >
run_folder: A folder contains different bam files for different samples:
Warning: The prefix of the name of the bam file should be the same as the sample directory.
step_number: Integer between 1 and 33 which represents the following step:
 Extract unmapped no-human reads from aligned bam file and map extracted reads to the viral database
 Split files for running RepeatMasker
 Submit RepeatMasker job array
 Sequence Quality Control
 Split files for Blast Human Genome
 Submit Blast Human Genome job array
 Parse Human Genome Blast result
 Pool and split files for BlastN
 Submit BlastN job array
 Parse BlastN result
 Generate summary result for blastn output
 Assignment report for each sample
 Assignment summary for each sample
 Generate report for the run
 Run steps from 2 to 14
 Run steps from 3 to 14
 Run steps from 4 to 14
 Run steps from 5 to 14
 Run steps from 6 to 14
 Run steps from 7 to 14
 Run steps from 8 to 14
 Run steps from 9 to 14
 Run steps from 10 to 14
 Run steps from 11 to 14
 Run steps from 12 to 14
 Run steps from 13 to 14