ONCOLINER: A new solution for monitoring, improving, and harmonizing somatic variant calling across genomic oncology centers.

IF 11.1 Q1 CELL BIOLOGY
Rodrigo Martín, Nicolás Gaitán, Frédéric Jarlier, Lars Feuerbach, Henri de Soyres, Marc Arbonés, Tom Gutman, Montserrat Puiggròs, Alvaro Ferriz, Asier Gonzalez, Lucía Estelles, Ivo Gut, Salvador Capella-Gutierrez, Lincoln D Stein, Benedikt Brors, Romina Royo, Philippe Hupé, David Torrents
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引用次数: 0

Abstract

The characterization of somatic genomic variation associated with the biology of tumors is fundamental for cancer research and personalized medicine, as it guides the reliability and impact of cancer studies and genomic-based decisions in clinical oncology. However, the quality and scope of tumor genome analysis across cancer research centers and hospitals are currently highly heterogeneous, limiting the consistency of tumor diagnoses across hospitals and the possibilities of data sharing and data integration across studies. With the aim of providing users with actionable and personalized recommendations for the overall enhancement and harmonization of somatic variant identification across research and clinical environments, we have developed ONCOLINER. Using specifically designed mosaic and tumorized genomes for the analysis of recall and precision across somatic SNVs, insertions or deletions (indels), and structural variants (SVs), we demonstrate that ONCOLINER is capable of improving and harmonizing genome analysis across three state-of-the-art variant discovery pipelines in genomic oncology.

ONCOLINER:用于监测、改进和协调各基因组肿瘤中心体细胞变异调用的新解决方案。
描述与肿瘤生物学相关的体细胞基因组变异是癌症研究和个性化医疗的基础,因为它指导着癌症研究的可靠性和影响,以及临床肿瘤学中基于基因组的决策。然而,目前各癌症研究中心和医院的肿瘤基因组分析在质量和范围上存在很大差异,这限制了各医院肿瘤诊断的一致性以及各研究之间数据共享和数据整合的可能性。为了向用户提供可操作的个性化建议,全面提高和统一跨研究和临床环境的体细胞变异识别能力,我们开发了 ONCOLINER。利用专门设计的镶嵌基因组和肿瘤基因组分析体细胞 SNV、插入或缺失(indels)和结构变异(SVs)的召回率和精确度,我们证明了 ONCOLINER 能够改进和协调基因组肿瘤学中三种最先进的变异发现管道的基因组分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.10
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