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January 20, 2015Bioinformatics10,451 citationsOpen Access

MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

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DLDinghua LiCLChi-Man LiuRLRuibang Luo

Key Points

  • The aim is to present MEGAHIT, an efficient tool for assembling large metagenomics datasets with minimized time and cost.
  • MEGAHIT was tested on a soil metagenomics dataset consisting of 252 Gbps.
  • Assembly was completed in 44.1 hours with a graphics processing unit and 99.6 hours without it.
  • No pre-processing steps like partitioning or normalization were utilized.
  • MEGAHIT produced an assembly three times larger than previous methods.
  • Contig N50 and average contig length were significantly improved.
  • 55.8% of the reads aligned to the assembly, leading to a fourfold enhancement.

Abstract

MEGAHIT is a NGS de novo assembler for assembling large and complex metagenomics data in a time- and cost-efficient manner. It finished assembling a soil metagenomics dataset with 252 Gbps in 44.1 and 99.6 h on a single computing node with and without a graphics processing unit, respectively. MEGAHIT assembles the data as a whole, i.e. no pre-processing like partitioning and normalization was needed. When compared with previous methods on assembling the soil data, MEGAHIT generated a three-time larger assembly, with longer contig N50 and average contig length; furthermore, 55.8% of the reads were aligned to the assembly, giving a fourfold improvement.

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Cite This Study

Li et al. (2015) studied this question.

synapsesocial.com/papers/699f4ff4c0a544a62cc3da9fhttps://doi.org/10.1093/bioinformatics/btv033
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