Operationalizing Quality Assurance for Clinical Illumina Somatic Next-Generation Sequencing Pipelines

IF 3.4 3区 医学 Q1 PATHOLOGY
Joshua Bridgers, Kenyon Alexander, Aly Karsan
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引用次数: 0

Abstract

Quality assurance (QA) is essential for precision oncology workflows, in particular in the clinical setting. However, because of numerous variations in laboratory and bioinformatics pipelines, QA practices remain non-standardized, are often ad hoc, and are lacking longitudinal tracking. A selected review of existing software was performed for quality control of Illumina next-generation sequencing data, focusing specifically on generalizable tools that can be integrated into any bioinformatics workflow to easily develop a QA workflow with longitudinal tracking. Although all implementations need to be integrated, validated, and iterated upon to suit individual operations, providing a base suite of options will enable better validation and use of QA in clinical somatic mutation testing for workflows using Illumina next-generation sequencing and beyond.

临床 Illumina 体细胞下一代测序流水线质量保证的操作化
质量保证对于精准肿瘤学工作流程至关重要,尤其是在临床环境中。然而,由于实验室和生物信息学流水线千差万别,质量保证实践仍未标准化,往往是临时性的,缺乏纵向跟踪。针对 Illumina 下一代测序数据的质量控制,我们对现有软件进行了精选审查,特别关注可集成到任何生物信息学工作流程中的通用工具,以轻松开发具有纵向跟踪功能的质量保证工作流程。虽然所有实施方案都需要整合、验证和迭代,以适应不同的操作,但提供一套基础选项将有助于更好地验证和使用临床体细胞突变检测的质量保证,适用于使用 Illumina NGS 及其他技术的工作流程。
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来源期刊
CiteScore
8.10
自引率
2.40%
发文量
143
审稿时长
43 days
期刊介绍: The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.
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