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Updated: Feb 26, 2026
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A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
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SERAPHIM 2.0: una caja de herramientas extendida para estudiar movimientos filogenéticamente informados
Simon Dellicour1,2,3, Nuno R Faria4,5, Rebecca Rose6
1Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Bioinformatics (Oxford, England)
|February 24, 2026
Resumen
El paquete R actualizado "seraphim" mejora el análisis filogeográfico para la evolución de patógenos. Ofrece nuevas herramientas para visualizar la dispersión, estimar métricas de movimiento y probar el impacto ambiental en la propagación de patógenos.
Área de la Ciencia:
- Biología Computacional
- Epidemiología Molecular
- Bioinformática
Sus antecedentes:
- Las reconstrucciones filogeográficas espacialmente explícitas son cruciales para comprender la evolución de los patógenos.
- La inferencia filogeográfica continua ayuda a reconstruir la historia de la dispersión de patógenos y la dinámica espaciotemporal.
Objetivo del estudio:
- Presentar la segunda versión del paquete R "seraphim".
- Proporcionar una caja de herramientas mejorada para procesar y analizar reconstrucciones filogeográficas espacialmente explícitas.
Principales métodos:
- El paquete "seraphim" ofrece funciones para visualizar inferencias filogeográficas.
- Incluye la estimación de métricas de dispersión de linajes y simuladores filogeográficos.
- Implementa pruebas de hipótesis para factores ambientales que influyen en la velocidad, ubicación y frecuencia de la dispersión.
Principales resultados:
- El paquete facilita el análisis integral de los patrones de dispersión de patógenos.
- Permite la investigación detallada de los impulsores de la propagación de patógenos.
Conclusiones:
- El paquete R "seraphim" es un recurso valioso para la epidemiología molecular.
- La versión 2 amplía las capacidades para analizar la dinámica espaciotemporal de los patógenos y las influencias ambientales.
Palabras clave:
filogeografíaepidemiología molecularevolución de patógenosanálisis computacionalbioinformáticaMás Videos Relacionados
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