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

• Main Authors: Xing Yi Woo (Author), Anuj Srivastava (Author), Joel H. Graber (Author), Vinod Yadav (Author), Vishal Kumar Sarsani (Author), Al Simons (Author), Glen Beane (Author), Stephen Grubb (Author), Guruprasad Ananda (Author), Rangjiao Liu (Author), Grace Stafford (Author), Jeffrey H. Chuang (Author), Susan D. Airhart (Author), R. Krishna Murthy Karuturi (Author), Joshy George (Author), Carol J. Bult (Author)
• Format: Book
• Published: BMC, 2019-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background 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 site...