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Visualization Tools for Genomic Conservation.
Bandi, Venkat; Gutwin, Carl; Siri, Jorge Núñez; Neufeld, Eric; Sharpe, Andrew; Parkin, Isobel.
Afiliación
  • Bandi V; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Gutwin C; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada. gutwin@cs.usask.ca.
  • Siri JN; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Neufeld E; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Sharpe A; Global Institute for Food Security, Saskatoon, SK, Canada.
  • Parkin I; Agriculture and Agri-Food Canada, Saskatoon, SK, Canada.
Methods Mol Biol ; 2443: 285-308, 2022.
Article en En | MEDLINE | ID: mdl-35037213
SynVisio and Accusyn ( genomevis.usask.ca ) are freely available web-based tools for visualizing genomic conservation that provide easy-to-access visualizations for researchers to interact with their datasets and change parameters in real time to carry out synteny exploration and analysis through multiple coordinated visual representations. The tools use standard file formats and outputs from existing synteny detection systems such as MCScanX or DAGChainer, and provide several features that are valuable for large-scale genomic analysis: a range of visualization scales from full genomes down to single collinearity blocks; single-level and multiple-level plots that enable the analysis of more than two genomic regions; annotation tracks that can be loaded using standard BedGraph files; several techniques for reducing visual clutter in visualizations; the ability to download high-quality images of the visualizations; and a snapshot panel for storing configurations of the interface for later revisitation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica / Sintenía Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica / Sintenía Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos