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通过高通量测序分析噬菌体的基因组末端

Analyzing Genome Termini of Bacteriophage Through High-Throughput Sequencing.

作者信息

Zhang Xianglilan, Wang Yahui, Tong Yigang

机构信息

State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, 20 Dong-Da Street, Beijing, 100071, People's Republic of China.

出版信息

Methods Mol Biol. 2018;1681:139-163. doi: 10.1007/978-1-4939-7343-9_11.

Abstract

High-throughput sequencing (HTS) is an effective tool for bacteriophage genome and its termini analysis. HTS technology parallelizes the sequencing process, producing thousands to millions of reads concurrently. Terminal information of a bacteriophage genome is important and basic knowledge for understanding the biology of the bacteriophage. We have created a high-occurrence reads as termini theory and developed practical methods to determine the bacteriophage genome termini, which is based on the large data of HTS. With this method, the termini of the bacteriophage genome can be efficiently and reliably identified as a by-product of bacteriophage genome sequencing, by solely analyzing the sequence statistics of the raw sequencing data (reads), without any further lab experiments.

摘要

高通量测序(HTS)是用于噬菌体基因组及其末端分析的有效工具。HTS技术使测序过程并行化,能够同时产生数千至数百万条读数。噬菌体基因组的末端信息是理解噬菌体生物学的重要基础知识。我们基于高通量测序的大数据创建了高出现频率读数作为末端的理论,并开发了确定噬菌体基因组末端的实用方法。通过这种方法,仅通过分析原始测序数据(读数)的序列统计信息,无需任何进一步的实验室实验,就可以作为噬菌体基因组测序的副产品高效且可靠地鉴定噬菌体基因组的末端。

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