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)...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: Artigo
Language:English
Published: 2019
Online Access:https://doi.org/10.1186/s12920-019-0551-2
https://bmcmedgenomics.biomedcentral.com/track/pdf/10.1186/s12920-019-0551-2
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items