Sushi.R: flexible, quantitative and integrative genomic visualizations for publication-quality multi-panel figures

Motivation: Interpretation and communication of genomic data require flexible and quantitative tools to analyze and visualize diverse data types, and yet, a comprehensive tool to display all common genomic data types in publication quality figures does not exist to date. To address this shortcoming,...

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Detalles Bibliográficos
Autores principales: Phanstiel, Douglas H., Boyle, Alan P., Araya, Carlos L., Snyder, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173017/
https://www.ncbi.nlm.nih.gov/pubmed/24903420
http://dx.doi.org/10.1093/bioinformatics/btu379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173017/
https://www.ncbi.nlm.nih.gov/pubmed/24903420
http://dx.doi.org/10.1093/bioinformatics/btu379

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