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VirusSeq: software to identify viruses and their integration sites using next-generation sequencing of human cancer tissue.


ABSTRACT:

Summary

We developed a new algorithmic method, VirusSeq, for detecting known viruses and their integration sites in the human genome using next-generation sequencing data. We evaluated VirusSeq on whole-transcriptome sequencing (RNA-Seq) data of 256 human cancer samples from The Cancer Genome Atlas. Using these data, we showed that VirusSeq accurately detects the known viruses and their integration sites with high sensitivity and specificity. VirusSeq can also perform this function using whole-genome sequencing data of human tissue.

Availability

VirusSeq has been implemented in PERL and is available at http://odin.mdacc.tmc.edu/?xsu1/VirusSeq.html.

Contact

xsu1@mdanderson.org

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Chen Y 

PROVIDER: S-EPMC3546792 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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Publications

VirusSeq: software to identify viruses and their integration sites using next-generation sequencing of human cancer tissue.

Chen Yunxin Y   Yao Hui H   Thompson Erika J EJ   Tannir Nizar M NM   Weinstein John N JN   Su Xiaoping X  

Bioinformatics (Oxford, England) 20121117 2


<h4>Summary</h4>We developed a new algorithmic method, VirusSeq, for detecting known viruses and their integration sites in the human genome using next-generation sequencing data. We evaluated VirusSeq on whole-transcriptome sequencing (RNA-Seq) data of 256 human cancer samples from The Cancer Genome Atlas. Using these data, we showed that VirusSeq accurately detects the known viruses and their integration sites with high sensitivity and specificity. VirusSeq can also perform this function using  ...[more]

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