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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.

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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.

Palabras clave:
¿ Qué es BioVizSeq ?biosecuenciael elementoAplicación brillantevisualización

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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.