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

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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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Science
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Online Access:https://doaj.org/article/9b4b88fc656142adbd3db96a74d79d8f
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