Single-cell tumor phylogeny inference with copy-number constrained mutation losses

Gryte Satas, Simone Zaccaria, Geoffrey Mon, Benjamin J. Raphael

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Motivation: Single-cell DNA sequencing enables the measurement of somatic mutations in individual tumor cells, and provides data to reconstruct the evolutionary history of the tumor.

Original languageEnglish (US)
Title of host publicationResearch in Computational Molecular Biology - 24th Annual International Conference, RECOMB 2020, Proceedings
EditorsRussell Schwartz
PublisherSpringer
Number of pages1
ISBN (Print)9783030452568
DOIs
StatePublished - Jan 1 2020
Event24th Annual Conference on Research in Computational Molecular Biology, RECOMB 2020 - Padua, Italy
Duration: May 10 2020May 13 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12074 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th Annual Conference on Research in Computational Molecular Biology, RECOMB 2020
CountryItaly
CityPadua
Period5/10/205/13/20

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Satas, G., Zaccaria, S., Mon, G., & Raphael, B. J. (2020). Single-cell tumor phylogeny inference with copy-number constrained mutation losses. In R. Schwartz (Ed.), Research in Computational Molecular Biology - 24th Annual International Conference, RECOMB 2020, Proceedings (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12074 LNBI). Springer. https://doi.org/10.1007/978-3-030-45257-5_35