chromoMap R visualization chromosome heatmap gene annotation Double-heatmap
vibrant, interactive, and informative chromosome plots created using chromoMap R package
Hello guys, This my very first post, on my own website, about an R package chromoMap that I have developed recently.
(So forgive me for the mistakes if any )
What is chromoMap?
chromoMap is an R package that provides interactive, configurable and elegant graphics visualization of the
allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces
a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data
associated with chromosome elements (like gene expression) in the form of heat colors which can be highly
advantageous in the scientific interpretations and research work. Because of the enormous size of the chromosomes,
it is impractical to visualize each element on the same plot. But chromoMap plots provide a magnified view for each
of chromosome location to render additional information and visualization specific for that location. You can map
thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings
(like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the
chromosome at a location showing each mapped element in sequential order (You will see in the demos below). Not ony that,
the plots can be saved as HTML documents
that can be customized and shared easily. In addition, you can include them in R Markdown or in R
How to Install It?
The very first release of the chromoMap (version 0.1) is available on CRAN ( The major repository for R
packages). You can install it, like you'd install any other R package on CRAN:
For getting best visualizations and features, I would recommend using the RStudio.
Types of Chromosome Plots
There are three major categories of chromosome plots, that you can create using chromoMap:
( see the demo to view the interactive plots)
This is a basic chromosome plot that provide annotation of the elements(genes/SNPs) on the chromosomes with single color.
On hovering over a location, Users can view the total number of elements mapped on that location along with
their names in sequential order(in which they are mapped on the chromosome).
This plot is a chromosome heatmap that annotate the elements on the chromosome with heat
colors (depend on the associated data for the element). The overall plot display an averaged heatmap i.e each
location represent average data for all the elements in that location. On hovering over a location, users can view
detailed heatmap for each element (almost like a magnified view for a location).A single strand is displayed with all
elements placed on it in actual sequence and with actual heat color assigned to them.
his allows users to add secondary data for the elements. This plot display the
heatmap with respect to the first data but also visualize the heatmap of secondary data (in magnified view) on
a second strand placed in parallel for comparing the data of elements on same location. Hence, users can compare
the element data in single plot.
chromoMap is actually an R HTML Widget that can easily be included in your R shiny web
applications. To know about the chromoMap shiny API see the vignette.
( if you include chromoMap in your application, then let me know by contacting me,
I will add the example references in this website for your project)
Save and share chromoMap plots as customizable HTML documents
You can easily save and share the plots you create as customizable HTML documents. You can add your
project title and description in the HTML document and can share it as projects. Know more about this feature in the
How to use It?
I wrote a detailed vignette that include illustrative example codes and images. Please read
the vignette for getting started with the chromoMap.
How to cite chromoMap?
There's a request. If you use chromoMap in your project, please use the citation:
You can also create the general citation and the BibTex entry (for LaTex) in R using:
citation(package = "chromoMap")
I am actively developing this project and will be adding some new features in the next update for the
package. This is the very first release of the package (version 0.1).
If you have features you would like to have added or encountered a bug, please submit your suggestions and bug-reports by