高通量测序和宏基因组数据分析

Ahmed M. Shuikan, S. Alharbi, D. H. Alkhalifah, W. Hozzein
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引用次数: 6

摘要

宏基因组学方法是一门正在发展的科学分支,在不同的领域有许多应用。宏基因组学似乎是理想的不依赖于培养的技术来揭示土壤的生物多样性,并研究这种生物多样性如何受到不断变化的条件的影响。此外,还报道了其在临床和诊断方法中的应用。几种新一代测序(NGS)策略的出现丰富了宏基因组学。NGS与宏基因组方法的结合,帮助研究者解决了有关微生物多样性以及不同微生物群之间功能和关系的若干问题。开发了许多NGS方法,包括Roche/454焦磷酸测序,Illumina/Solexa测序和Applied Biosystems/SOLiD测序。在本章中,讨论了不同的NGS平台的原理、优势和局限性。此外,还讨论了第三代测序技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Throughput Sequencing and Metagenomic Data Analysis
Metagenomic approaches are a growing branch of science and have many applications in different fields. Metagenomics seems to be the ideal culture-independent technique for unraveling the biodiversity of soils and to study how this biodiversity is affected with continuously changing conditions. In addition, its application in clinical and diagnostic approaches was reported. The emergence of several next-generation sequencing (NGS) strategies enriched the metagenomics. The combination between NGS and metagenomic approaches helped the investigators resolve several issues regarding the microbial diversity and the functions and relationships among different microbial flora. A number of NGS approaches were developed including Roche/454 pyrosequencing, Illumina/Solexa sequencing, and Applied Biosystems/SOLiD sequencing. In this chapter, different NGS platforms are discussed in terms of principle, advantages, and limitations. In addition, third-generation sequencing technologies are also addressed.
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