Introduction

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.

Publications

  1. MetaBinG: using GPUs to accelerate metagenomic sequence classification.
    Cite this
    Jia P, Xuan L, Liu L, Wei C, 2011-01-01 - PloS one

Credits

  1. Peng Jia
    Developer

  2. Liming Xuan
    Developer

  3. Lei Liu
    Developer

  4. Chaochun Wei
    Investigator

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Summary
AccessionBT000308
Tool TypeApplication
Category
PlatformsLinux/Unix
Technologies
User InterfaceTerminal Command Line
Download Count0
Submitted ByChaochun Wei