Review of General Algorithmic Features for Genome Assemblers for Next Generation Sequencers

查看全文 作　　者：Bilal [1,2]Wajid;Erchin [2]Serpedin

机构地区：[1]Department of Electrical Engineering,University of Engineering and Technology,Lahore 54890,Punjab,Pakistan;[2]Department of Electrical and Computer Engineering,Texas A & M University,College Station,TX 77843-3128,USA

出　　处：《Genomics, Proteomics & Bioinformatics》索引2012年第10卷第2期,共16页

基　　金：funded by the University of Engineering and Technology,Lahore,Pakistan (Grant No. Estab/DBS/411);National Science Foundation(Grant No. 0915444) 摘　　要：In the realm of bioinformatics and computational biology,the most rudimentary data upon which all the analysis is built is the sequence data of genes,proteins and RNA.The sequence data of the entire genome is the solution to the genome assembly problem.The scope of this contribution is to provide an overview on the art of problem-solving applied within the domain of genome assembly in the nextgeneration sequencing(NGS) platforms.This article discusses the major genome assemblers that were proposed in the literature during the past decade by outlining their basic working principles.It is intended to act as a qualitative,not a quantitative,tutorial to all working on genome assemblers pertaining to the next generation of sequencers.We discuss the theoretical aspects of various genome assemblers,identifying their working schemes.We also discuss briefly the direction in which the area is headed towards along with discussing core issues on software simplicity. 关键词：基因组组装机通用算法排序序列数据生物学领域生物信息学工作原理

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Review of General Algorithmic Features for Genome Assemblers for Next Generation Sequencers

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