Modeling and analysis of site-specific mutations in cancer identifies known plus putative novel hotspots and bias due to contextual sequences

Keywords: Hotspots, Beta-Binomial, Recurrent mutations, Cancer, Algorithm, Simulations Authors: Victor Trevino License: © 2020 The Author CC BY-NC-ND 4.0 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Article links: DOI: 10.1016/j.csbj.2020.06.022  |  PubMed: 32670506  |  PMC: PMC7339035 Relevance: Moderate: mentioned 3+ times in text Full text: PDF (87 KB) Introduction It is thought that recurrently mutated amino-acid positions in cancer genes, namely mutation hotspots, are likely to have an important functional impact ref. [1]. Several well-known