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BioVizSeq: un paquete R para visualizar el elemento en bio-secuencias
Shiqi Zhao1, Runqi Zhang1, Maoqiu He1
1School of Fishery, Zhejiang Ocean University, Zhoushan, China.
Frontiers in plant science
|September 4, 2025
Resumen
BioVizSeq es un nuevo paquete R para visualizar elementos de secuencia biológica. Ofrece herramientas flexibles y fáciles de usar para que los investigadores creen cifras de calidad de publicación a partir de diversas fuentes de datos.
Área de la Ciencia:
- La bioinformática
- Biología computacional
- La genómica
Sus antecedentes:
- La visualización de elementos funcionales en secuencias biológicas es crucial para la anotación y publicación.
- Las herramientas existentes a menudo carecen de flexibilidad para satisfacer las necesidades de investigación personalizadas.
- El lenguaje R ofrece potentes capacidades para la visualización de datos.
Objetivo del estudio:
- Desarrollar un paquete R flexible y fácil de usar para visualizar elementos de secuencia biológica.
- Proporcionar a los investigadores herramientas para integrar diversos datos de anotación.
- Facilitar la creación de cifras de alta calidad para publicaciones científicas.
Principales métodos:
- Desarrollo del paquete BioVizSeq R aprovechando las ventajas de visualización gráfica de R.
- Integración de datos procedentes de diversas fuentes, entre las que se incluyen GFF/GTF, MEME, SMART, Plantcare, PFAM y CDD.
- Implementación de opciones de ejecución local y en línea para la accesibilidad.
Principales resultados:
- BioVizSeq permite la visualización de los tipos y distribuciones de elementos dentro de las bio-secuencias.
- El paquete incluye datos de fuentes generadas por el usuario y programas de análisis populares.
- Ofrece opciones de visualización generales y personalizadas para diversos requisitos del usuario.
Conclusiones:
- BioVizSeq proporciona una solución flexible y accesible para visualizar anotaciones de secuencias biológicas.
- El paquete R permite a los investigadores, incluso a los que no tienen una amplia experiencia en codificación, generar datos listos para su publicación.
- Mejora la integración y presentación de los datos de los elementos funcionales en la investigación biológica.
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