Journal
NAR Cancer
Publication Date
6-1-2022
Volume
4
Issue
2
First Page
zcac014
Document Type
Open Access Publication
DOI
10.1093/narcan/zcac014
Rights and Permissions
Soner Koc, Michael W Lloyd, Jeffrey W Grover, Nan Xiao, Sara Seepo, Sai Lakshmi Subramanian, Manisha Ray, Christian Frech, John DiGiovanna, Phillip Webster, Steven Neuhauser, Anuj Srivastava, Xing Yi Woo, Brian J Sanderson, Brian White, Paul Lott, Lacey E Dobrolecki, Heidi Dowst, PDXNet Consortium , Yvonne A Evrard, Tiffany A Wallace, Jeffrey A Moscow, James H Doroshow, Nicholas Mitsiades, Salma Kaochar, Chong-xian Pan, Moon S Chen, Luis Carvajal-Carmona, Alana L Welm, Bryan E Welm, Michael T Lewis, Ramaswamy Govindan, Li Ding, Shunqiang Li, Meenhard Herlyn, Michael A Davies, Jack Roth, Funda Meric-Bernstam, Peter N Robinson, Carol J Bult, Brandi Davis-Dusenbery, Dennis A Dean, Jeffrey H Chuang, PDXNet portal: patient-derived Xenograft model, data, workflow and tool discovery, NAR Cancer, Volume 4, Issue 2, June 2022, zcac014, https://doi.org/10.1093/narcan/zcac014. https://academic.oup.com/narcancer/article/4/2/zcac014/6572305?login=true. © The Author(s) 2022. Published by Oxford University Press on behalf of NAR Cancer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Recommended Citation
Koc, Soner; Govindan, Ramaswamy; Ding, Li; Li, Shunqiang; and et al., "PDXNet portal: Patient-derived Xenograft model, data, workflow and tool discovery." NAR Cancer. 4, 2. zcac014 (2022).
https://digitalcommons.wustl.edu/oa_4/3606
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
