  The increasing availability of sequencing data of cancer samples is fueling
the development of algorithmic strategies to investigate tumor heterogeneity
and infer reliable models of cancer evolution. We here build up on previous
works on cancer progression inference from genomic alteration data, to deliver
two distinct Cytoscape-based applications, which allow to produce, visualize
and manipulate cancer evolution models, also by interacting with public genomic
and proteomics databases. In particular, we here introduce cyTRON, a
stand-alone Cytoscape app, and cyTRON/JS, a web application which employs the
functionalities of Cytoscape/JS.
  cyTRON was developed in Java; the code is available at
https://github.com/BIMIB-DISCo/cyTRON and on the Cytoscape App Store
http://apps.cytoscape.org/apps/cytron. cyTRON/JS was developed in JavaScript
and R; the source code of the tool is available at
https://github.com/BIMIB-DISCo/cyTRON-js and the tool is accessible from
https://bimib.disco.unimib.it/cytronjs/welcome.
