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. cyTRON/JS was developed in JavaScript and R.

Patruno, L., Galimberti, E., Ramazzotti, D., Caravagna, G., De Sano, L., Antoniotti, M., et al. (2020). cyTRON and cytron/js: Two cytoscape-based applications for the inference of cancer evolution models. In Computational Intelligence Methods for Bioinformatics and Biostatistics 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers (pp.13-18). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-63061-4_2].

cyTRON and cytron/js: Two cytoscape-based applications for the inference of cancer evolution models

Ramazzotti, D
;
Antoniotti, M
Penultimo
;
Graudenzi, A
Ultimo
2020

Abstract

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. cyTRON/JS was developed in JavaScript and R.
paper
Cancer; Cancer evolution; Cytoscape; Mutational graphs; Tumor phylogenies;
English
16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019 - September 4–6, 2019
2019
Computational Intelligence Methods for Bioinformatics and Biostatistics 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers
9783030630607
2020
12313 LNBI
13
18
none
Patruno, L., Galimberti, E., Ramazzotti, D., Caravagna, G., De Sano, L., Antoniotti, M., et al. (2020). cyTRON and cytron/js: Two cytoscape-based applications for the inference of cancer evolution models. In Computational Intelligence Methods for Bioinformatics and Biostatistics 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers (pp.13-18). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-63061-4_2].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/234702
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
Social impact