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Can we read the future from a tree?

A new method uses genealogies based on sequence data to predict short-term evolutionary patterns.

Detalles Bibliográficos
Autores principales: Lässig, Michael, Łuksza, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231209/
https://www.ncbi.nlm.nih.gov/pubmed/25395039
http://dx.doi.org/10.7554/eLife.05060
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author Lässig, Michael
Łuksza, Marta
author_facet Lässig, Michael
Łuksza, Marta
author_sort Lässig, Michael
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description A new method uses genealogies based on sequence data to predict short-term evolutionary patterns.
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spelling pubmed-42312092014-11-24 Can we read the future from a tree? Lässig, Michael Łuksza, Marta eLife Genomics and Evolutionary Biology A new method uses genealogies based on sequence data to predict short-term evolutionary patterns. eLife Sciences Publications, Ltd 2014-11-14 /pmc/articles/PMC4231209/ /pubmed/25395039 http://dx.doi.org/10.7554/eLife.05060 Text en Copyright © 2014, Lässig and Łuksza http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genomics and Evolutionary Biology
Lässig, Michael
Łuksza, Marta
Can we read the future from a tree?
title Can we read the future from a tree?
title_full Can we read the future from a tree?
title_fullStr Can we read the future from a tree?
title_full_unstemmed Can we read the future from a tree?
title_short Can we read the future from a tree?
title_sort can we read the future from a tree?
topic Genomics and Evolutionary Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231209/
https://www.ncbi.nlm.nih.gov/pubmed/25395039
http://dx.doi.org/10.7554/eLife.05060
work_keys_str_mv AT lassigmichael canwereadthefuturefromatree
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