manhattanly: Interactive Q-Q and Manhattan Plots Using 'plotly.js'

Create interactive Q-Q, manhattan and volcano plots that are usable from the R console, in the 'RStudio' viewer pane, in 'R Markdown' documents, and in 'Shiny' apps. Hover the mouse pointer over a point to show details or drag a rectangle to zoom. A manhattan plot is a popular graphical method for visualizing results from high-dimensional data analysis such as a (epi)genome wide association study (GWAS or EWAS), in which p-values, Z-scores, test statistics are plotted on a scatter plot against their genomic position. Manhattan plots are used for visualizing potential regions of interest in the genome that are associated with a phenotype. Interactive manhattan plots allow the inspection of specific value (e.g. rs number or gene name) by hovering the mouse over a cell, as well as zooming into a region of the genome (e.g. a chromosome) by dragging a rectangle around the relevant area. This work is based on the 'qqman' package by Stephen Turner and the 'plotly.js' engine. It produces similar manhattan and Q-Q plots as the 'manhattan' and 'qq' functions in the 'qqman' package, with the advantage of including extra annotation information and interactive web-based visualizations directly from R. Once uploaded to a 'plotly' account, 'plotly' graphs (and the data behind them) can be viewed and modified in a web browser.

Version: 0.2.0
Depends: R (≥ 3.0.0)
Imports: stats, magrittr (≥ 1.0.1), plotly (≥ 4.5.6), ggplot2 (≥ 2.1.0)
Suggests: knitr, rmarkdown
Published: 2016-11-16
Author: Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/)
Maintainer: Sahir Bhatnagar <sahir.bhatnagar at gmail.com>
BugReports: https://github.com/sahirbhatnagar/manhattanly/issues
License: MIT + file LICENSE
URL: https://github.com/sahirbhatnagar/manhattanly/, http://sahirbhatnagar.com/manhattanly/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: manhattanly results

Downloads:

Reference manual: manhattanly.pdf
Vignettes: Introduction to manhattanly
Package source: manhattanly_0.2.0.tar.gz
Windows binaries: r-devel: manhattanly_0.2.0.zip, r-release: manhattanly_0.2.0.zip, r-oldrel: manhattanly_0.2.0.zip
OS X El Capitan binaries: r-release: manhattanly_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: manhattanly_0.2.0.tgz
Old sources: manhattanly archive

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