COSINE：肿瘤基因组学中克隆和亚克隆结构推断与进化的Web服务器
COSINE: A Web Server for Clonal and Subclonal Structure Inference and Evolution in Cancer Genomics
摘要：
癌症从单细胞突变演变而来，具有体细胞突变获得的连续克隆和亚克隆扩增。从大量或单细胞肿瘤基因组测序数据推断克隆和亚克隆结构对癌症演变研究具有巨大影响。克隆状态和突变顺序可以提供详细的洞察肿瘤的起源和它的未来发展。在过去的十年中，已经开发了多种方法用于使用大量肿瘤测序数据进行亚克隆重建。由于这些方法是用不同的编程语言开发的，并且使用不同的输入数据格式，因此它们的使用和比较可能存在问题。因此，我们建立了一个网络服务器的克隆和亚克隆结构推断和进化的癌症基因组数据（COSINE），其中包括12个流行的亚克隆重建方法。我们通过单个处理步骤的详细工作流程和用户友好的界面分解了每种方法。据我们所知，这是第一个提供在线亚克隆推理的Web服务器，包括最流行的亚克隆重建方法。COSINE可在www.clab-cosine.net或http://bio.rj.run:48996/cun-web上免费访问。
英文摘要：
Cancers evolve from mutation of a single cell with sequential clonal and subclonal expansion of somatic mutation acquisition. Inferring clonal and subclonal structures from bulk or single cell tumor genomic sequencing data has a huge impact on cancer evolution studies. Clonal state and mutational order can provide detailed insight into tumor origin and its future development. In the past decade, a variety of methods have been developed for subclonal reconstruction using bulk tumor sequencing data. As these methods have been developed in different programming languages and using different input data formats, their use and comparison can be problematic. Therefore, we established a web server for clonal and subclonal structure inference and evolution of cancer genomic data (COSINE), which included 12 popular subclonal reconstruction methods. We decomposed each method via a detailed workflow of single processing steps with a user-friendly interface. To the best of our knowledge, this is the first web server providing online subclonal inference, including the most popular subclonal reconstruction methods. COSINE is freely accessible at www.clab-cosine.net or http://bio.rj.run:48996/cun-web.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
