期刊
PLOS ONE
卷 6, 期 11, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0025353
关键词
-
资金
- National High-Tech RD Program (863) [2009AA02Z310, 009AA02Z306]
- National Natural Science Foundation of China [60970050]
- Shanghai Pujiang Program [09PJ1407900]
- Basic Science Foundation of Shanghai [08JC1416700]
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/similar to ccwei/pub/software/MetaBinG/MetaBinG.php.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据