A tool for computational cancer driver discovery
Installation | Tutorial | Documentation
DriverPower is a tool used to discover potential coding and non-coding cancer driver elements from tumour whole-genome or whole-exome somatic mutations.
If you only have somatic mutations (in hg19) at hand and would like to find drivers in well-annotated regions, please use our example data and follow the tutorial.
Please cite our paper when you use DriverPower in your study:
- Shuai S, PCAWG Drivers and Functional Interpretation Working Group, Gallinger S, Stein L & PCAWG Consortium (2020) Combined burden and functional impact tests for cancer driver discovery using DriverPower. Nat. Commun. 11: 734–734 Available at: https://www.ncbi.nlm.nih.gov/pubmed/32024818
Please cite the PCAWG driver paper as well when you use our example data in your study:
- Rheinbay E, Nielsen MM, Abascal F, Wala JA, Shapira O, Tiao G, Hornshøj H, Hess JM, Juul RI, Lin Z, Feuerbach L, Sabarinathan R, Madsen T, Kim J, Mularoni L, Shuai S, Lanzós A, Herrmann C, Maruvka YE, Shen C, et al (2020) Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nature 578: 102–111 Available at: https://www.ncbi.nlm.nih.gov/pubmed/32025015
DriverPower is distributed under the terms of the GNU General Public License 3.0.
- 2018/09/12: Release version 1.0.2, which has some minor modifications.
- 2017/11/22: Release version 1.0.1, which has bugs fixes and improved performance.
- 2017/08/03: Release version 1.0.0, which is used in our manuscript.
- 2017/03/02: Release version 0.4.0, which is used in the PCAWG driver analysis.