SPhyR: tumor phylogeny estimation from single-cell sequencing data under loss and error

MOTIVATION: Cancer is characterized by intra-tumor heterogeneity, the presence of distinct cell populations with distinct complements of somatic mutations, which include single-nucleotide variants (SNVs) and copy-number aberrations (CNAs). Single-cell sequencing technology enables one to study these...

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Detalles Bibliográficos
Autor principal: El-Kebir, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Eccb 2018: European Conference on Computational Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153375/
https://www.ncbi.nlm.nih.gov/pubmed/30423070
http://dx.doi.org/10.1093/bioinformatics/bty589

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153375/
https://www.ncbi.nlm.nih.gov/pubmed/30423070
http://dx.doi.org/10.1093/bioinformatics/bty589

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