GenomicScores: seamless access to genomewide position-specific scores from R and Bioconductor | Zendy

Pau Puigdevall | Zendy; Robert Castelo | Zendy

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GenomicScores: seamless access to genomewide position-specific scores from R and Bioconductor

Author(s) -

Pau Puigdevall,

Robert Castelo

Publication year - 2018

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/bty311

Subject(s) - bioconductor , workflow , computer science , r package , position (finance) , license , genome , database , biology , genetics , operating system , gene , programming language , finance , economics

Genomewide position-specific scores, such as those estimating conservation, constraint, fitness or mutation tolerance, are ubiquitous in current genome analyses. The diversity of sources and formats of these scores, as well as their size, increase the burden to use them. We present GenomicScores, a Bioconductor package that provides efficient storage and seamless access of genomewide position-specific scores from R, facilitating their use in genome analysis workflows.

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