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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Bioinformatics
Egile Nagusiak: Hodzic, Ermin, Shrestha, Raunak, Malikic, Salem, Collins, Colin C, Litchfield, Kevin, Turajlic, Samra, Sahinalp, S Cenk
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2020
Gaiak:
Studies of Phenotypes and Clinical Applications
Sarrera elektronikoa: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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