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FuncTree2: an interactive radial tree for functional hierarchies and omics data visualization.
Darzi, Youssef; Yamate, Yuta; Yamada, Takuji.
Afiliación
  • Darzi Y; Department of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan.
  • Yamate Y; Department of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan.
  • Yamada T; Department of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan.
Bioinformatics ; 35(21): 4519-4521, 2019 11 01.
Article en En | MEDLINE | ID: mdl-31004476
SUMMARY: Functional annotations and their hierarchical classification are widely used in omics workflows to build novel insight upon existing biological knowledge. Currently, a plethora of tools is available to explore omics datasets at the level of functional annotations, but there is a lack of feature rich and user-friendly tools that help scientists take advantage of their hierarchical classification for additional and often invaluable insights. Here, we present FuncTree2, a user-friendly web application that turns hierarchical classifications into interactive and highly customizable radial trees, and enables researchers to visualize their data simultaneously on all its levels. FuncTree2 features mapping of data from multiple samples and several navigation features like zooming, panning, re-rooting and collapsing of nodes or levels. AVAILABILITY AND IMPLEMENTATION: FuncTree2 is freely available at https://bioviz.tokyo/functree2/ as a web application and a REST API. Source code is available on GitHub https://github.com/yamada-lab/functree-ng. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Visualización de Datos Límite: Child / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Visualización de Datos Límite: Child / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Japón