Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines

Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines

Patient-derived xenograft (PDX) models are in vivo models of human cancer that have been used for translational cancer research and therapy selection for individual patients. The Jackson Laboratory (JAX) PDX resource comprises 455 models originating from 34 different primary sites (as of 05/08/2019)...

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Библиографические подробности
Главные авторы: Xing Yi Woo, Anuj Srivastava, Joel H. Graber, Vinod Kumar Yadav, Vishal Sarsani, Al Simons, Glen Beane, Stephen C. Grubb, Guruprasad Ananda, Rangjiao Liu, Grace A. Stafford, Jeffrey H. Chuang, Susan Airhart, R. Krishna Murthy Karuturi, Joshy George, Carol J. Bult
Формат: Artigo
Язык:английский
Опубликовано: 2019
Online-ссылка:https://doi.org/10.1186/s12920-019-0551-2
https://bmcmedgenomics.biomedcentral.com/track/pdf/10.1186/s12920-019-0551-2
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Internet

https://doi.org/10.1186/s12920-019-0551-2
https://bmcmedgenomics.biomedcentral.com/track/pdf/10.1186/s12920-019-0551-2

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