Bawono Punto, Dijkstra Maurits, Pirovano Walter, Feenstra Anton, Abeln Sanne, Heringa Jaap
Centre for Integrative Bioinformatics, Vrije Universiteit, Amsterdam, The Netherlands.
Bioinformatics Department, BaseClear, Leiden, The Netherlands.
Methods Mol Biol. 2017;1525:167-189. doi: 10.1007/978-1-4939-6622-6_8.
The increasing importance of Next Generation Sequencing (NGS) techniques has highlighted the key role of multiple sequence alignment (MSA) in comparative structure and function analysis of biological sequences. MSA often leads to fundamental biological insight into sequence-structure-function relationships of nucleotide or protein sequence families. Significant advances have been achieved in this field, and many useful tools have been developed for constructing alignments, although many biological and methodological issues are still open. This chapter first provides some background information and considerations associated with MSA techniques, concentrating on the alignment of protein sequences. Then, a practical overview of currently available methods and a description of their specific advantages and limitations are given, to serve as a helpful guide or starting point for researchers who aim to construct a reliable MSA.
下一代测序(NGS)技术日益重要,这凸显了多序列比对(MSA)在生物序列比较结构和功能分析中的关键作用。MSA常常能让我们对核苷酸或蛋白质序列家族的序列-结构-功能关系有基本的生物学洞察。该领域已取得显著进展,并且已经开发了许多用于构建比对的实用工具,尽管许多生物学和方法学问题仍然悬而未决。本章首先提供一些与MSA技术相关的背景信息和注意事项,重点是蛋白质序列的比对。然后,对当前可用方法进行实际概述,并描述其具体优点和局限性,为旨在构建可靠MSA的研究人员提供有用的指南或起点。