Krakau Sabrina, Straub Daniel, Gourlé Hadrien, Gabernet Gisela, Nahnsen Sven
Quantitative Biology Center (QBiC), University of Tübingen, 72076 Tübingen, Germany.
Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, S-75007 Uppsala, Sweden.
NAR Genom Bioinform. 2022 Feb 2;4(1):lqac007. doi: 10.1093/nargab/lqac007. eCollection 2022 Mar.
The analysis of shotgun metagenomic data provides valuable insights into microbial communities, while allowing resolution at individual genome level. In absence of complete reference genomes, this requires the reconstruction of metagenome assembled genomes (MAGs) from sequencing reads. We present the nf-core/mag pipeline for metagenome assembly, binning and taxonomic classification. It can optionally combine short and long reads to increase assembly continuity and utilize sample-wise group-information for co-assembly and genome binning. The pipeline is easy to install-all dependencies are provided within containers-portable and reproducible. It is written in Nextflow and developed as part of the nf-core initiative for best-practice pipeline development. All codes are hosted on GitHub under the nf-core organization https://github.com/nf-core/mag and released under the MIT license.
鸟枪法宏基因组数据的分析为微生物群落提供了有价值的见解,同时允许在个体基因组水平上进行解析。在缺乏完整参考基因组的情况下,这需要从测序 reads 中重建宏基因组组装基因组(MAG)。我们展示了用于宏基因组组装、分箱和分类学分类的 nf-core/mag 流程。它可以选择组合短读长和长读长以增加组装连续性,并利用样本级别的分组信息进行共组装和基因组分箱。该流程易于安装——所有依赖项都在容器中提供——可移植且可重复。它用 Nextflow 编写,并作为 nf-core 最佳实践流程开发计划的一部分进行开发。所有代码托管在 GitHub 上的 nf-core 组织下,网址为 https://github.com/nf-core/mag,并根据 MIT 许可发布。