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

BMC Bioinformatics. 2012 May 6:13:82. doi: 10.1186/1471-2105-13-82.

Abstract

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.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms
  • Computer Simulation
  • Genome, Human / genetics
  • Humans
  • Models, Genetic
  • Sequence Analysis, DNA / methods
  • Software*