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MetaBinG: using GPUs to accelerate metagenomic sequence classification.


ABSTRACT: Metagenomic sequence classification is a procedure to assign sequences to their source genomes. It is one of the important steps for metagenomic sequence data analysis. Although many methods exist, classification of high-throughput metagenomic sequence data in a limited time is still a challenge. We present here an ultra-fast metagenomic sequence classification system (MetaBinG) using graphic processing units (GPUs). The accuracy of MetaBinG is comparable to the best existing systems and it can classify a million of 454 reads within five minutes, which is more than 2 orders of magnitude faster than existing systems. MetaBinG is publicly available at http://cbb.sjtu.edu.cn/~ccwei/pub/software/MetaBinG/MetaBinG.php.

SUBMITTER: Jia P 

PROVIDER: S-EPMC3223155 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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MetaBinG: using GPUs to accelerate metagenomic sequence classification.

Jia Peng P   Xuan Liming L   Liu Lei L   Wei Chaochun C  

PloS one 20111123 11


Metagenomic sequence classification is a procedure to assign sequences to their source genomes. It is one of the important steps for metagenomic sequence data analysis. Although many methods exist, classification of high-throughput metagenomic sequence data in a limited time is still a challenge. We present here an ultra-fast metagenomic sequence classification system (MetaBinG) using graphic processing units (GPUs). The accuracy of MetaBinG is comparable to the best existing systems and it can  ...[more]

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