GenVisR: Genomic Visualizations in R | Zendy

Zachary L. Skidmore | Zendy; Alex H. Wagner | Zendy; Robert Lesurf | Zendy; Katie M. Campbell | Zendy; Jason Kunisaki | Zendy; Obi L. Griffith | Zendy; Malachi Griffith | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

GenVisR: Genomic Visualizations in R

Author(s) -

Zachary L. Skidmore,

Alex H. Wagner,

Robert Lesurf,

Katie M. Campbell,

Jason Kunisaki,

Obi L. Griffith,

Malachi Griffith

Publication year - 2016

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/btw325

Subject(s) - bioconductor , suite , computer science , visualization , r package , flexibility (engineering) , graphics , information retrieval , data mining , data science , biology , programming language , computer graphics (images) , geography , genetics , statistics , mathematics , archaeology , gene

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.

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