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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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| Publicado no: | Bioinformatics |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6153375/ https://ncbi.nlm.nih.gov/pubmed/30423070 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty589 |
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