Automation of molecular-based analyses: a primer on massively parallel sequencing.

Q1 Biochemistry, Genetics and Molecular Biology
Clinical Biochemist Reviews Pub Date : 2014-08-01
Lan Nguyen, Leslie Burnett
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Abstract

Recent advances in genetics have been enabled by new genetic sequencing techniques called massively parallel sequencing (MPS) or next-generation sequencing. Through the ability to sequence in parallel hundreds of thousands to millions of DNA fragments, the cost and time required for sequencing has dramatically decreased. There are a number of different MPS platforms currently available and being used in Australia. Although they differ in the underlying technology involved, their overall processes are very similar: DNA fragmentation, adaptor ligation, immobilisation, amplification, sequencing reaction and data analysis. MPS is being used in research, translational and increasingly now also in clinical settings. Common applications include sequencing of whole genomes, whole exomes or targeted genes for disease-causing gene discovery, genetic diagnosis and targeted cancer therapy. Even though the revolution that is occurring with MPS is exciting due to its increasing use, improving and emerging technologies and new applications, significant challenges still exist. Particularly challenging issues are the bioinformatics required for data analysis, interpretation of results and the ethical dilemma of 'incidental findings'.

Abstract Image

基于分子分析的自动化:大规模平行测序引物。
新的基因测序技术被称为大规模平行测序(MPS)或下一代测序,这使得遗传学的最新进展成为可能。通过对数十万到数百万个DNA片段进行并行测序的能力,测序所需的成本和时间大大降低。目前,澳大利亚有许多不同的MPS平台可供使用。虽然它们所涉及的基础技术不同,但它们的总体过程非常相似:DNA片段化、接头连接、固定、扩增、测序反应和数据分析。MPS正被用于研究、转化,现在也越来越多地用于临床环境。常见的应用包括全基因组、全外显子组或靶向基因测序,用于发现致病基因、遗传诊断和靶向癌症治疗。尽管MPS正在发生的革命是令人兴奋的,因为它的使用越来越多,改进和新兴的技术和新的应用,重大挑战仍然存在。特别具有挑战性的问题是数据分析、结果解释和“偶然发现”的伦理困境所需的生物信息学。
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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来源期刊
Clinical Biochemist Reviews
Clinical Biochemist Reviews Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
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