Skip to content

Accurately discover viral integration events and fusion transcripts

License

GPL-3.0, GPL-3.0 licenses found

Licenses found

GPL-3.0
LICENSE
GPL-3.0
COPYING
Notifications You must be signed in to change notification settings

TF-Chan-Lab/ViralFusionSeq

Repository files navigation

ViralFusionSeq

Accurately discover viral integration events and fusion transcripts


As of 2016, VFS is the only viral integration tool available at NIH HPC system. https://hpc.nih.gov/apps/ViralFusionSeq/

ViralFusionSeq (VFS) is a versatile high-throughput sequencing (HTS) tool for discovering viral integration events and reconstruct fusion transcripts at single-base resolution. VFS combines soft-clipping information, read-pair analysis, and targeted de novo assembly to discover and annotate viral-human fusion events.

A simple yet effective empirical statistical model is used to evaluate the quality of fusion breakpoints.

Features

  • Applicable and fully tested using RNA-Seq and DNA-Seq data
  • Utilize both clipped-sequence (CS) and paired-end (RP) information to discover viral integration
  • Re-construction of fusion transcript sequence using CS and RP information
  • Minimal user defined parameters are required.
  • Fully tested under Ubuntu/Debian system.

Installation

  • Please refer to the manual VFS.manual.pdf

Run through docker

  • Please check the scripts build_docker.sh and run_docker_example.sh to see how to build and run through docker

Citation

Li JW, Wan R, Yu CS, Co NN, Wong N, Chan TF. ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution. Bioinformatics. 2013 Mar 1;29(5):649-51. doi: 10.1093/bioinformatics/btt011. Epub 2013 Jan 12. PMID: 23314323; PMCID: PMC3582262. https://pubmed.ncbi.nlm.nih.gov/23314323/

Announcements

Previous versions

About

Accurately discover viral integration events and fusion transcripts

Resources

License

GPL-3.0, GPL-3.0 licenses found

Licenses found

GPL-3.0
LICENSE
GPL-3.0
COPYING

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages