Genomic analysis identifies new drivers and progression pathways in skin basal cell carcinoma
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 9 - Physics
- Output identifier
- 85295487
- Type
- D - Journal article
- DOI
-
10.1038/ng.3525
- Title of journal
- Nature Genetics
- Article number
- -
- First page
- 398
- Volume
- 48
- Issue
- 4
- ISSN
- 1061-4036
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 5 - Biological Sciences
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
26
- Research group(s)
-
A - Physics & Astro
- Citation count
- 167
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- Fedor Bezrukov: Bezrukov developed a novel statistical analysis tool that allowed the search for oncogenes with recent recurrent mutations. The observation of oncogenes with recurrent mutations is one of the main results reported in this paper. This statistical analysis tool (TumOnc) is reported in the supplemental material of the publication and was used to obtain the results reported in section “BCC drivers”.
- Non-English
- No
- English abstract
- -
