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GenVisR: Genomic Visualizations in R

Summary: Visualizing and summarizing data from genomic studies continues to be a challenge. Here, we introduce the GenVisR package to addresses this challenge by providing highly customizable, publication-quality graphics focused on cohort level genome analyses. GenVisR provides a rapid and easy-to-...

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Detalles Bibliográficos
Autores principales: Skidmore, Zachary L., Wagner, Alex H., Lesurf, Robert, Campbell, Katie M., Kunisaki, Jason, Griffith, Obi L., Griffith, Malachi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039916/
https://www.ncbi.nlm.nih.gov/pubmed/27288499
http://dx.doi.org/10.1093/bioinformatics/btw325
Descripción
Sumario:Summary: Visualizing and summarizing data from genomic studies continues to be a challenge. Here, we introduce the GenVisR package to addresses this challenge by providing highly customizable, publication-quality graphics focused on cohort level genome analyses. GenVisR provides a rapid and easy-to-use suite of genomic visualization tools, while maintaining a high degree of flexibility by leveraging the abilities of ggplot2 and Bioconductor. Availability and Implementation: GenVisR is an R package available via Bioconductor (https://bioconductor.org/packages/GenVisR) under GPLv3. Support is available via GitHub (https://github.com/griffithlab/GenVisR/issues) and the Bioconductor support website. Contacts: obigriffith@wustl.edu or mgriffit@wustl.edu Supplementary information: Supplementary data are available at Bioinformatics online.