Tools for mapping high-throughput sequencing data

被引：161

作者：

Fonseca, Nuno A. ^{[1
]}

Rung, Johan ^{[1
]}

Brazma, Alvis ^{[1
]}

Marioni, John C. ^{[1
]}

机构：

[1] European Bioinformat Inst, EMBL Outstn, Cambridge CB10 ISD, England

来源：

BIOINFORMATICS | 2012年 / 28卷 / 24期

关键词：

RNA-SEQ DATA; SPLICE JUNCTIONS; RAPID ALIGNMENT; READ ALIGNMENT; GENOME; GENERATION; OLIGONUCLEOTIDES; ALGORITHM; ULTRAFAST; SOFTWARE;

D O I：

10.1093/bioinformatics/bts605

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation: A ubiquitous and fundamental step in high-throughput sequencing analysis is the alignment (mapping) of the generated reads to a reference sequence. To accomplish this task numerous software tools have been proposed. Determining the mappers that are most suitable for a specific application is not trivial. Results: This survey focuses on classifying mappers through a wide number of characteristics. The goal is to allow practitioners to compare the mappers more easily and find those that are most suitable for their specific problem.

引用

页码：3169 / 3177

页数：9

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