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Readjoiner: a fast and memory efficient string graph-based sequence assembler

BACKGROUND: Ongoing improvements in throughput of the next-generation sequencing technologies challenge the current generation of de novo sequence assemblers. Most recent sequence assemblers are based on the construction of a de Bruijn graph. An alternative framework of growing interest is the assem...

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Autores principales: Gonnella, Giorgio, Kurtz, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3507659/
https://www.ncbi.nlm.nih.gov/pubmed/22559072
http://dx.doi.org/10.1186/1471-2105-13-82
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author Gonnella, Giorgio
Kurtz, Stefan
author_facet Gonnella, Giorgio
Kurtz, Stefan
author_sort Gonnella, Giorgio
collection PubMed
description BACKGROUND: Ongoing improvements in throughput of the next-generation sequencing technologies challenge the current generation of de novo sequence assemblers. Most recent sequence assemblers are based on the construction of a de Bruijn graph. An alternative framework of growing interest is the assembly string graph, not necessitating a division of the reads into k-mers, but requiring fast algorithms for the computation of suffix-prefix matches among all pairs of reads. RESULTS: Here we present efficient methods for the construction of a string graph from a set of sequencing reads. Our approach employs suffix sorting and scanning methods to compute suffix-prefix matches. Transitive edges are recognized and eliminated early in the process and the graph is efficiently constructed including irreducible edges only. CONCLUSIONS: Our suffix-prefix match determination and string graph construction algorithms have been implemented in the software package Readjoiner. Comparison with existing string graph-based assemblers shows that Readjoiner is faster and more space efficient. Readjoiner is available at http://www.zbh.uni-hamburg.de/readjoiner.
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spelling pubmed-35076592012-12-03 Readjoiner: a fast and memory efficient string graph-based sequence assembler Gonnella, Giorgio Kurtz, Stefan BMC Bioinformatics Methodology Article BACKGROUND: Ongoing improvements in throughput of the next-generation sequencing technologies challenge the current generation of de novo sequence assemblers. Most recent sequence assemblers are based on the construction of a de Bruijn graph. An alternative framework of growing interest is the assembly string graph, not necessitating a division of the reads into k-mers, but requiring fast algorithms for the computation of suffix-prefix matches among all pairs of reads. RESULTS: Here we present efficient methods for the construction of a string graph from a set of sequencing reads. Our approach employs suffix sorting and scanning methods to compute suffix-prefix matches. Transitive edges are recognized and eliminated early in the process and the graph is efficiently constructed including irreducible edges only. CONCLUSIONS: Our suffix-prefix match determination and string graph construction algorithms have been implemented in the software package Readjoiner. Comparison with existing string graph-based assemblers shows that Readjoiner is faster and more space efficient. Readjoiner is available at http://www.zbh.uni-hamburg.de/readjoiner. BioMed Central 2012-05-06 /pmc/articles/PMC3507659/ /pubmed/22559072 http://dx.doi.org/10.1186/1471-2105-13-82 Text en Copyright ©2012 Gonnella and Kurtz; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Gonnella, Giorgio
Kurtz, Stefan
Readjoiner: a fast and memory efficient string graph-based sequence assembler
title Readjoiner: a fast and memory efficient string graph-based sequence assembler
title_full Readjoiner: a fast and memory efficient string graph-based sequence assembler
title_fullStr Readjoiner: a fast and memory efficient string graph-based sequence assembler
title_full_unstemmed Readjoiner: a fast and memory efficient string graph-based sequence assembler
title_short Readjoiner: a fast and memory efficient string graph-based sequence assembler
title_sort readjoiner: a fast and memory efficient string graph-based sequence assembler
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3507659/
https://www.ncbi.nlm.nih.gov/pubmed/22559072
http://dx.doi.org/10.1186/1471-2105-13-82
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