Transmissible Cancer Group, University of Cambridge.
Brief Bioinform. 2019 Jan 18;20(1):77-88. doi: 10.1093/bib/bbx082.
The accumulation of somatic mutations in a genome is the result of the activity of one or more mutagenic processes, each of which leaves its own imprint. The study of these DNA fingerprints, termed mutational signatures, holds important potential for furthering our understanding of the causes and evolution of cancer, and can provide insights of relevance for cancer prevention and treatment. In this review, we focus our attention on the mathematical models and computational techniques that have driven recent advances in the field.
基因组中体细胞突变的积累是一个或多个诱变过程活动的结果，每个过程都会留下自己的印记。研究这些被称为突变特征的 DNA 指纹，对于深入了解癌症的病因和进化具有重要的潜力，并为癌症的预防和治疗提供相关的见解。在这篇综述中，我们将注意力集中在推动该领域最近进展的数学模型和计算技术上。
