LocusExplorer: a user-friendly tool for integrated visualization of human genetic association data and biological annotations
Author(s) -
Tokhir Dadaev,
Daniel Leongamornlert,
Edward J. Saunders,
Rosalind A. Eeles,
Zsofia KoteJarai
Publication year - 2015
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/btv690
Subject(s) - computer science , personalization , visualization , zoom , source code , user interface , graphical user interface , open source , plot (graphics) , user friendly , data visualization , web application , code (set theory) , interface (matter) , software , world wide web , database , data mining , programming language , operating system , biology , statistics , mathematics , bubble , maximum bubble pressure method , lens (geology) , paleontology , set (abstract data type)
: In this article, we present LocusExplorer, a data visualization and exploration tool for genetic association data. LocusExplorer is written in R using the Shiny library, providing access to powerful R-based functions through a simple user interface. LocusExplorer allows users to simultaneously display genetic, statistical and biological data for humans in a single image and allows dynamic zooming and customization of the plot features. Publication quality plots may then be produced in a variety of file formats.
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