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Assembling and Validating Bioinformatic Pipelines for Next-Generation Sequencing Clinical Assays

机译:用于下一代测序临床测定的生物信息管道组装和验证生物信息管道

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Context.-Clinical next-generation sequencing (NGS) is being rapidly adopted, but analysis and interpretation of large data sets prompt new challenges for a clinical laboratory setting. Clinical NGS results rely heavily on the bioinformatics pipeline for identifying genetic variation in complex samples. The choice of bioinformatics algorithms, genome assembly, and genetic annotation databases are important for determining genetic alterations associated with disease. The analysis methods are often tuned to the assay to maximize accuracy. Once a pipeline has been developed, it must be validated to determine accuracy and reproducibility for samples similar to real-world cases. In silico proficiency testing or institutional data exchange will ensure consistency among clinical laboratories.
机译:上下文。临床下一代测序(NGS)正在迅速采用,但大数据集的分析和解释促使临床实验室环境的新挑战。 临床NGS结果依赖于生物信息学管道,用于鉴定复杂样品中的遗传变异。 生物信息学算法,基因组组装和基因注释数据库的选择对于确定与疾病相关的遗传改变是重要的。 分析方法通常调整到测定以最大化精度。 一旦制定了管道,必须验证,确定类似于现实世界案例的样本的准确性和再现性。 在硅水溶性测试或机构数据交换中将确保临床实验室之间的一致性。

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