Identification of conserved evolutionary trajectories in tumors

MOTIVATION: As multi-region, time-series and single-cell sequencing data become more widely available; it is becoming clear that certain tumors share evolutionary characteristics with others. In the last few years, several computational methods have been developed with the goal of inferring the subc...

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Dettagli Bibliografici
Pubblicato in:Bioinformatics
Autori principali: Hodzic, Ermin, Shrestha, Raunak, Malikic, Salem, Collins, Colin C, Litchfield, Kevin, Turajlic, Samra, Sahinalp, S Cenk
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2020
Soggetti:
Studies of Phenotypes and Clinical Applications
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7355238/
https://ncbi.nlm.nih.gov/pubmed/32657374
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa453
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