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Plots & Data Visualizations

Image Formats

The standard format for (plot-)images generated on Progenetix is Scalable Vector Graphics (SVG). As the name implies, SVG is scalable, i.e. images can be scaled up without loosing quality or expanding in storage size. However, some of teh generated images use also embedded rastered components which will deteriorate during scaling - this is e.g. the case for array probe plots.


All major modern web browsers—including Mozilla Firefox, Internet Explorer, Google Chrome, Opera, Safari, and Microsoft Edge—have SVG rendering support.

On most pages where plots are being displayed there is a download option for the images - (please alert us where those are missing). Browsers also have the option to export SVGs themselves e.g. as PDF.

The bycon plotting library

  • read and write e.g. Progentix .pgxseg segment files
  • render plots of sample-specific and aggregate CNV data, such as histograms clustered CNV sample strips

Plot Types

CNV Histogram Plots

There are two possibilities to plot CNV histograms through the Progenetix API w/o using the user interface:

  1. direct visualization of pre-computed collations, e.g. publications or diagnosttic entities
  2. a Beacon API query with the added option &output=histoplot

Please use option 1 if accessing complete entities (i.e. only using a single filters value) - this option is not limited through large sample numbers.


  • customized plot for glioblastoma CNV frequencies, limited to chromosomes 7, 9 and 10

Additional plot parameters

Plot parameters can be added to the request using a standard &__parameter__=__value__ syntax.

The PGX plotting library

Plots on Progenetix are generated using the PGX package, a set of Perl libraries for processing and graphical representation of CNV data. The package contains tools to

  • ~~read and write e.g. Progentix segment files
  • generate binned status maps
  • render plots of sample-specific and aggregate CNV data, such as histograms and CNV frequency heatmaps