Abstract
The development of the next generation sequencing technology (NGS) has advanced the genomics research in many application domains. Metagenomics is one such powerful approach to study large community of microbial species. For the unknown species in the metagenomic samples, gene assembly and identification without a reference genome is a very challenging problem. To overcome this issue, distributed gene assembly software handling multiple metagenome samples can be used. In this paper, based on our previously developed highly scalable gene assembly software SWAP, we present a work flow called WFswap to assemble large genomic data based on many samples and to identify more genes. Our results suggested that WFswap is able to identify 94.2% of the bench-mark genes when tested on the 19 metagenomic samples that contain Bifidobacterium animalis subsp. lactis CNCM I-2494. Our proposed work-flow WFswap showed better performance than WFsoap, a similar workflow that used SOAPdenovo2 for gene assembly.
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