viRome: an R package for the visualization and analysis of viral small RNA sequence datasets

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 > Institute of Infection Immunity and Inflammation
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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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
656551Arbovirus interactions with arthropod hostsAlain KohlMedical Research Council (MRC)MC_UU_12014/8MVLS III - CENTRE FOR VIRUS RESEARCH