Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, USA.
Genome Biol. 2022 Feb 28;23(1):63. doi: 10.1186/s13059-022-02626-w.
Recovering high-quality metagenome-assembled genomes (MAGs) from complex microbial ecosystems remains challenging. Recently, high-throughput chromosome conformation capture (Hi-C) has been applied to simultaneously study multiple genomes in natural microbial communities. We develop HiCBin, a novel open-source pipeline, to resolve high-quality MAGs utilizing Hi-C contact maps. HiCBin employs the HiCzin normalization method and the Leiden clustering algorithm and includes the spurious contact detection into binning pipelines for the first time. HiCBin is validated on one synthetic and two real metagenomic samples and is shown to outperform the existing Hi-C-based binning methods. HiCBin is available at https://github.com/dyxstat/HiCBin .
从复杂的微生物生态系统中恢复高质量的宏基因组组装基因组(MAGs)仍然具有挑战性。最近,高通量染色体构象捕获(Hi-C)已被应用于同时研究自然微生物群落中的多个基因组。我们开发了 HiCBin,这是一种新颖的开源管道,利用 Hi-C 接触图谱来解决高质量的 MAGs。HiCBin 采用了 HiCzin 标准化方法和 Leiden 聚类算法,并首次将虚假接触检测纳入到分箱管道中。HiCBin 在一个合成和两个真实的宏基因组样本上进行了验证,结果表明它优于现有的基于 Hi-C 的分箱方法。HiCBin 可在 https://github.com/dyxstat/HiCBin 上获得。