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VirusFinder

A software tool for characterizing intra-host viruses through next generation sequencing (NGS) data. It implements our recently developed algorithm, Virus intEgration site detection through Reference SEquence customization (VERSE) as well as other new features. Specifically, VirusFinder 2 detects virus infection, co-infection with multiple viruses, mutations in the virus genomes, in addition to virus integration sites in host genomes. It also facilitates virus discovery by reporting novel contigs, long sequences assembled from short reads that map neither to the host genome nor to the genomes of known viruses. VirusFinder 2 can not only work for the human genome data, but also other organisms with available reference genome sequences (e.g. animals). VirusFinder 2 works with both paired-end and single-end data, unlike the previous 1.x versions that accepted only paired-end reads. The types of NGS data that VirusFinder 2 can deal with include whole genome sequencing (WGS), whole transcriptome sequencing (RNA-Seq), targeted sequencing data such as whole exome sequencing (WES) and ultra-deep amplicon sequencing.

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VirusFinder forum

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VirusFinder classification

  • Viruses

VirusFinder specifications

Software type:
Package/Module
Restrictions to use:
None
Input format:
FASTQ, FASTA
Programming languages:
Perl
Version:
2.0
Requirements:
BASH, shell, Java
Interface:
Command line interface
Input data:
Sequenced from a host, a reference host genome, and a reference virus genome.
Operating system:
Unix/Linux
Computer skills:
Advanced
Stability:
Stable
Maintained:
No

VirusFinder distribution

versioning

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No versioning.

VirusFinder support

Maintainer

This tool is not available anymore.

Credits

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Publications

Institution(s)

Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA; Center for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA

Funding source(s)

Supported in part by National Institutes of Health grants (R01LM011177, P30CA68485, P50CA098131, and P50CA095103) and Ingram Professorship Funds.

Link to literature

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