An investigation of irreproducibility in maximum likelihood phylogenetic inference
Replicate runs of maximum likelihood phylogenetic analyses can generate different tree topologies due to differences in parameters, such as random seeds. Here, Shen et al. demonstrate that replicate runs can generate substantially different tree topologies even with identical data and parameters.
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/89b812f2f7b64fb78541099c22294c84 |
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| Sumario: | Replicate runs of maximum likelihood phylogenetic analyses can generate different tree topologies due to differences in parameters, such as random seeds. Here, Shen et al. demonstrate that replicate runs can generate substantially different tree topologies even with identical data and parameters. |
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