Difference between revisions of "ViralFusionSeq"

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

Revision as of 05:52, 15 January 2013

Application data

Created by Jing-Woei Li, Raymond Wan
Biological application domain(s) Genomics, Fusion genes, Fusion transcripts, Viral genomics
Principal bioinformatics method(s) Read Alignment, Read mapping, Read pre-processing, Split-read, de-novo assembly, targeted de novo assembly, Alignment, Assembly
Technology Illumina
Created at The Chinese University of Hong Kong
Maintained? Yes
Input format(s) Single-end and Paired end, FASTQ, (Compressed) FASTQ
Output format(s) Custom, .fasta, FASTA
Software features Accurately discover viral integration events and fusion transcripts
Programming language(s) Perl
Licence GPLv3
Operating system(s) Linux

Summary: Accurately discover viral integration events and fusion transcripts by the use of soft-clipping information, read-pair analysis, and targeted de novo assembly

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Description

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.

Minimal user defined parameters are required.

Source code with User manual and features comparison with VirusSeq is available at "Files" and "Blog" in sourceforge,respectively

Contact authors at SEQanswers ViralFusionSeq was developed at Hong Kong Bioinformatics Centre

Links


References

  1. . 2013. Bioinformatics


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