Author

Nicola Vitacolonna

University of UdineORCID 0000-0002-7505-5124Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Carla PiazzaiD· 1 shared Nicola GiganteiD· 1 shared Nicolò RossiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Carla PiazzaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 11, 2022

A Conservative Approach for Describing Cancer Progression

Nicolò Rossi, Nicola Gigante, Nicola Vitacolonna, Carla Piazza

This paper introduces a cancer progression model based on Single Cell DNA Sequencing data that avoids the infinite site assumption and provides an open-source implementation.

1 citation

whole-genome sequencingstatistical model

𝕏 PostBluesky