A user guide for the online exploration and visualization of PCAWG data

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A user guide for the online exploration and visualization of PCAWG data

The Pan-Cancer Analysis of Whole Genomes project generated a vast array of data. In this article, the authors describe five different online resources to enable readers to explore and visualize the data.

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Detalles Bibliográficos
Autores principales:	Mary J. Goldman, Junjun Zhang, Nuno A. Fonseca, Isidro Cortés-Ciriano, Qian Xiang, Brian Craft, Elena Piñeiro-Yáñez, Brian D. O’Connor, Wojciech Bazant, Elisabet Barrera, Alfonso Muñoz-Pomer, Robert Petryszak, Anja Füllgrabe, Fatima Al-Shahrour, Maria Keays, David Haussler, John N. Weinstein, Wolfgang Huber, Alfonso Valencia, Peter J. Park, Irene Papatheodorou, Jingchun Zhu, Vincent Ferretti, Miguel Vazquez
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9b4b88fc656142adbd3db96a74d79d8f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Descripción
Sumario:	The Pan-Cancer Analysis of Whole Genomes project generated a vast array of data. In this article, the authors describe five different online resources to enable readers to explore and visualize the data.