manhattanly: Interactive Q-Q and Manhattan Plots Using 'plotly.js'
Create interactive Q-Q and manhattan 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.
- Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/)
- Date of publication
- 2016-06-08 17:52:18
- Sahir Bhatnagar <firstname.lastname@example.org>
- MIT + file LICENSE
- Subset of HapMap data with simulated GWAS results
- Creates a plotly manhattan plot
- Creates a manhattanr object
- Creates a plotly Q-Q plot
- Creates a qq object
- Character vector of SNPs to highlight
Files in this package