Cargando…

HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps

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 o...

Descripción completa

Detalles Bibliográficos
Autores principales: Du, Yuxuan, Sun, Fengzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883645/
https://www.ncbi.nlm.nih.gov/pubmed/35227283
http://dx.doi.org/10.1186/s13059-022-02626-w
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02626-w).