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A survey of multiple sequence alignment techniques

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multiple sequence alignment (MSA) is a basic step in many bioinformatics analyses, and also a NP-hard problem. In order to improve the speed, accuracy and cater to the requirement of large-scale sequences alignment, a wide variety of MSA methods and softwares have been subsequently developed. In this article, we will systematically review the wildly used methods and introduce their practical results on the benchmark Balibase 3.0 references. We come to the conclusion that computational complexity still is the bottleneck of MSA. We also consider future development of MSA methods with respect to applying of more different technologies and the prospect of parallelization of MSA.

Original languageEnglish
Title of host publicationIntelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings
EditorsDe-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne
PublisherSpringer Verlag
Pages529-538
Number of pages10
ISBN (Print)9783319221793
DOIs
StatePublished - 2015
Externally publishedYes
Event11th International Conference on Intelligent Computing, ICIC 2015 - Fuzhou, China
Duration: 20 Aug 201523 Aug 2015

Publication series

NameLecture Notes in Computer Science
Volume9225
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Intelligent Computing, ICIC 2015
Country/TerritoryChina
CityFuzhou
Period20/08/1523/08/15

Keywords

  • MSA techniques
  • Multiple sequence alignment

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