SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing

MOTIVATION: Metagenomic binning methods to reconstruct metagenome-assembled genomes (MAGs) from environmental samples have been widely used in large-scale metagenomic studies. The recently proposed semi-supervised binning method, SemiBin, achieved state-of-the-art binning results in several environm...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Shaojun, Zhao, Xing-Ming, Coelho, Luis Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Bioinformatics of Microbes and Microbiomes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311329/
https://www.ncbi.nlm.nih.gov/pubmed/37387171
http://dx.doi.org/10.1093/bioinformatics/btad209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311329/
https://www.ncbi.nlm.nih.gov/pubmed/37387171
http://dx.doi.org/10.1093/bioinformatics/btad209

Ejemplares similares