Computing tumor trees from single cells

Computational methods have been developed to reconstruct evolutionary lineages from tumors using single-cell genomic data. The resulting tumor trees have important applications in cancer research and clinical oncology. Please see related Research articles: http://genomebiology.biomedcentral.com/arti...

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Detalles Bibliográficos
Autores principales: Davis, Alexander, Navin, Nicholas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Highlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881295/
https://www.ncbi.nlm.nih.gov/pubmed/27230879
http://dx.doi.org/10.1186/s13059-016-0987-z
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author Davis, Alexander
Navin, Nicholas E.
author_facet Davis, Alexander
Navin, Nicholas E.
author_sort Davis, Alexander
collection PubMed
description Computational methods have been developed to reconstruct evolutionary lineages from tumors using single-cell genomic data. The resulting tumor trees have important applications in cancer research and clinical oncology. Please see related Research articles: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0929-9 and http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0936-x.
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spelling pubmed-48812952016-05-27 Computing tumor trees from single cells Davis, Alexander Navin, Nicholas E. Genome Biol Research Highlight Computational methods have been developed to reconstruct evolutionary lineages from tumors using single-cell genomic data. The resulting tumor trees have important applications in cancer research and clinical oncology. Please see related Research articles: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0929-9 and http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0936-x. BioMed Central 2016-05-26 /pmc/articles/PMC4881295/ /pubmed/27230879 http://dx.doi.org/10.1186/s13059-016-0987-z Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Highlight
Davis, Alexander
Navin, Nicholas E.
Computing tumor trees from single cells
title Computing tumor trees from single cells
title_full Computing tumor trees from single cells
title_fullStr Computing tumor trees from single cells
title_full_unstemmed Computing tumor trees from single cells
title_short Computing tumor trees from single cells
title_sort computing tumor trees from single cells
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881295/
https://www.ncbi.nlm.nih.gov/pubmed/27230879
http://dx.doi.org/10.1186/s13059-016-0987-z
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