Watson, M., Schnettler, E. and Kohl, A. (2013) viRome: an R package for the visualization and analysis of viral small RNA sequence datasets. Bioinformatics, 29(15), pp. 1902-1903. (doi: 10.1093/bioinformatics/btt297) (PMID:23709497) (PMCID:PMC3712215)
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Abstract
Summary: RNA interference (RNAi) is known to play an important part in defence against viruses in a range of species. Second-generation sequencing technologies allow us to assay these systems and the small RNAs that play a key role with unprecedented depth. However, scientists need access to tools that can condense, analyse and display the resulting data. Here, we present viRome, a package for R that takes aligned sequence data and produces a range of essential plots and reports.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Schnettler, Dr Esther and Kohl, Professor Alain |
| Authors: | Watson, M., Schnettler, E., and Kohl, A. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Infection & Immunity College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research |
| Journal Name: | Bioinformatics |
| ISSN: | 1367-4803 |
| ISSN (Online): | 1460-2059 |
| Copyright Holders: | Copyright © 2013 The Authors |
| First Published: | First published in Bioinformatics 29(15):1902-1903 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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