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耳鼻咽喉科学研究中的生物信息学。第一部分:DNA测序和基因表达分析的概念

Bioinformatics in otolaryngology research. Part one: concepts in DNA sequencing and gene expression analysis.

作者信息

Ow T J, Upadhyay K, Belbin T J, Prystowsky M B, Ostrer H, Smith R V

机构信息

Department of Otorhinolaryngology - Head and Neck Surgery,Montefiore Medical Center and Albert Einstein College of Medicine,Bronx,New York,USA.

Department of Pathology,Montefiore Medical Center and Albert Einstein College of Medicine,Bronx,New York,USA.

出版信息

J Laryngol Otol. 2014 Oct;128(10):848-58. doi: 10.1017/S002221511400200X. Epub 2014 Sep 16.

Abstract

BACKGROUND

Advances in high-throughput molecular biology, genomics and epigenetics, coupled with exponential increases in computing power and data storage, have led to a new era in biological research and information. Bioinformatics, the discipline devoted to storing, analysing and interpreting large volumes of biological data, has become a crucial component of modern biomedical research. Research in otolaryngology has evolved along with these advances.

OBJECTIVES

This review highlights several modern high-throughput research methods, and focuses on the bioinformatics principles necessary to carry out such studies. Several examples from recent literature pertinent to otolaryngology are provided. The review is divided into two parts; this first part discusses the bioinformatics approaches applied in nucleotide sequencing and gene expression analysis.

CONCLUSION

This paper demonstrates how high-throughput nucleotide sequencing and transcriptomics are changing biology and medicine, and describes how these changes are affecting otorhinolaryngology. Sound bioinformatics approaches are required to obtain useful information from the vast new sources of data.

摘要

背景

高通量分子生物学、基因组学和表观遗传学的进展,再加上计算能力和数据存储呈指数级增长,开启了生物学研究和信息的新纪元。生物信息学这一致力于存储、分析和解释大量生物数据的学科,已成为现代生物医学研究的关键组成部分。耳鼻咽喉科学的研究也随着这些进展而不断发展。

目的

本综述重点介绍了几种现代高通量研究方法,并着重阐述了开展此类研究所需的生物信息学原理。还提供了近期文献中与耳鼻咽喉科相关的几个例子。本综述分为两部分;第一部分讨论了应用于核苷酸测序和基因表达分析的生物信息学方法。

结论

本文展示了高通量核苷酸测序和转录组学如何改变生物学和医学,并描述了这些变化如何影响耳鼻咽喉科。需要可靠的生物信息学方法来从大量新的数据来源中获取有用信息。

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