摘要
Summary: The recovery of genomes from metagenomic datasets is a critical step to defining the functional roles of the underlying uncultivated populations. We previously developed MaxBin, an automated binning approach for high-throughput recovery of microbial genomes from metagenomes. Here we present an expanded binning algorithm, MaxBin 2.0, which recovers genomes from co-assembly of a collection of metagenomic datasets. Tests on simulated datasets revealed that MaxBin 2.0 is highly accurate in recovering individual genomes, and the application of MaxBin 2.0 to several metagenomes from environmental samples demonstrated that it could achieve two complementary goals: recovering more bacterial genomes compared to binning a single sample as well as comparing the microbial community composition between different sampling environments. Availability and implementation: MaxBin 2.0 is freely available at http://sourceforge.net/projects/maxbin/ under BSD license. Supplementary information: Supplementary data are available at Bioinformatics online.
原文 | 英語 |
---|---|
頁(從 - 到) | 605-607 |
頁數 | 3 |
期刊 | Bioinformatics |
卷 | 32 |
發行號 | 4 |
DOIs | |
出版狀態 | 已發佈 - 2月 2016 |
對外發佈 | 是 |
ASJC Scopus subject areas
- 生物化學
- 分子生物學
- 計算機理論與數學
- 電腦科學應用
- 計算數學
- 統計與概率