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CovCopCan:一种从遗传性疾病和癌症的扩增子测序数据中检测拷贝数变异的高效工具。

CovCopCan: An efficient tool to detect Copy Number Variation from amplicon sequencing data in inherited diseases and cancer.

机构信息

CHU Limoges, UF de Bioinformatique, Limoges France.

CHU Limoges, Service Hématologie Biologique, Limoges, France.

出版信息

PLoS Comput Biol. 2020 Feb 12;16(2):e1007503. doi: 10.1371/journal.pcbi.1007503. eCollection 2020 Feb.

Abstract

Molecular diagnosis is an essential step of patient care. An increasing number of Copy Number Variations (CNVs) have been identified that are involved in inherited and somatic diseases. However, there are few existing tools to identify them among amplicon sequencing data generated by Next Generation Sequencing (NGS). We present here a new tool, CovCopCan, that allows the rapid and easy detection of CNVs in inherited diseases, as well as somatic data of patients with cancer, even with a low ratio of cancer cells to healthy cells. This tool could be very useful for molecular geneticists to rapidly identify CNVs in an interactive and user-friendly way.

摘要

分子诊断是患者护理的重要步骤。越来越多的拷贝数变异(CNVs)已被确定与遗传和体细胞疾病有关。然而,在下一代测序(NGS)产生的扩增子测序数据中,能够识别它们的工具很少。我们在这里介绍了一种新工具 CovCopCan,它允许快速、轻松地检测遗传性疾病以及癌症患者的体细胞数据中的 CNVs,即使癌细胞与健康细胞的比例很低也是如此。该工具对于分子遗传学家来说非常有用,可以以交互和用户友好的方式快速识别 CNVs。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c58/7041855/fa7ab25bbada/pcbi.1007503.g001.jpg

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