Text-mining clinically relevant cancer biomarkers for curation into the CIViC database

Authors

Jake Lever, University of British Columbia
Martin R Jones, Canada's Michael Smith Genome Sciences Centre
Arpad M Danos, Washington University School of Medicine in St. Louis
Kilannin Krysiak, Washington University School of Medicine in St. Louis
Melika Bonakdar, Canada's Michael Smith Genome Sciences Centre
Jasleen K Grewal, University of British Columbia
Luka Culibrk, University of British Columbia
Obi L Griffith, Washington University School of Medicine in St. Louis
Malachi Griffith, Washington University School of Medicine in St. Louis
Steven J M Jones, University of British Columbia

Journal

Genome Medicine

Publication Date

12-3-2019

Volume

11

Issue

1

First Page

78

Document Type

Open Access Publication

DOI

10.1186/s13073-019-0686-y

Rights and Permissions

Lever, J., Jones, M.R., Danos, A.M. et al. Text-mining clinically relevant cancer biomarkers for curation into the CIViC database. Genome Med 11, 78 (2019). https://doi.org/10.1186/s13073-019-0686-y This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Recommended Citation

Lever, Jake; Jones, Martin R; Danos, Arpad M; Krysiak, Kilannin; Bonakdar, Melika; Grewal, Jasleen K; Culibrk, Luka; Griffith, Obi L; Griffith, Malachi; and Jones, Steven J M, "Text-mining clinically relevant cancer biomarkers for curation into the CIViC database." Genome Medicine. 11, 1. 78 (2019).
https://digitalcommons.wustl.edu/open_access_pubs/9107