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

Mick Watson | Zendy; Esther Schnettler | Zendy; Alain Kohl | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Mick Watson,

Esther Schnettler,

Alain Kohl

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt297

Subject(s) - human virome , computational biology , biology , mit license , r package , genomics , license , rna , computer science , genome , genetics , world wide web , gene , operating system , programming language

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research