ViRome: An R package for the visualization and analysis of viral small RNA sequence datasets: An R package for the visualization and analysis of viral small RNA sequence datasets

Mick Watson; Esther Schnettler; Alain Kohl

doi:10.1093/bioinformatics/btt297

ViRome: An R package for the visualization and analysis of viral small RNA sequence datasets: An R package for the visualization and analysis of viral small RNA sequence datasets

Mick Watson, Esther Schnettler, Alain Kohl

Research output: Contribution to journal › Article › peer-review

37 Citations (Scopus)

Abstract

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.Availability and implementation: viRome is released under the BSD license as a package for R available for both Windows and Linux http://virome.sf.net. Additional information and a tutorial is available on the ARK-Genomics website: http://www.ark-genomics.org/bioinformatics/virome.Contact:

Original language	English
Pages (from-to)	1902-1903
Number of pages	2
Journal	Bioinformatics
Volume	29
Issue number	15
DOIs	https://doi.org/10.1093/bioinformatics/btt297
Publication status	Published - 1 Aug 2013
Externally published	Yes

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10.1093/bioinformatics/btt297Licence: CC BY

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ViRome: An R package for the visualization and analysis of viral small RNA sequence datasets: An R package for the visualization and analysis of viral small RNA sequence datasets

Abstract

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