Sequencing and curation strategies for identifying candidate glioblastoma treatments

Sequencing and curation strategies for identifying candidate glioblastoma treatments

Abstract Background Prompted by the revolution in high-throughput sequencing and its potential impact for treating cancer patients, we initiated a clinical research study to compare the ability of different sequencing assays and analysis methods to analyze glioblastoma tumors and generate real-time...

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Main Authors: Mayu O. Frank, Takahiko Koyama, Kahn Rhrissorrakrai, Nicolas Robine, Filippo Utro, Anne-Katrin Emde, Bo-Juen Chen, Kanika Arora, Minita Shah, Heather Geiger, Vanessa Felice, Esra Dikoglu, Sadia Rahman, Alice Fang, Vladimir Vacic, Ewa A. Bergmann, Julia L. Moore Vogel, Catherine Reeves, Depinder Khaira, Anthony Calabro, Duyang Kim, Michelle F. Lamendola-Essel, Cecilia Esteves, Phaedra Agius, Christian Stolte, John Boockvar, Alexis Demopoulos, Dimitris G. Placantonakis, John G. Golfinos, Cameron Brennan, Jeffrey Bruce, Andrew B. Lassman, Peter Canoll, Christian Grommes, Mariza Daras, Eli Diamond, Antonio Omuro, Elena Pentsova, Dana E. Orange, Stephen J. Harvey, Jerome B. Posner, Vanessa V. Michelini, Vaidehi Jobanputra, Michael C. Zody, John Kelly, Laxmi Parida, Kazimierz O. Wrzeszczynski, Ajay K. Royyuru, Robert B. Darnell
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Medical Genomics
Online Access:http://link.springer.com/article/10.1186/s12920-019-0500-0

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http://link.springer.com/article/10.1186/s12920-019-0500-0

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