Integrating chromatin conformation information in a self-supervised learning model improves metagenome binning

Metagenome binning is a key step, downstream of metagenome assembly, to group scaffolds by their genome of origin. Although accurate binning has been achieved on datasets containing multiple samples from the same community, the completeness of binning is often low in datasets with a small number of...

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Detalles Bibliográficos
Autores principales: Ho, Harrison, Chovatia, Mansi, Egan, Rob, He, Guifen, Yoshinaga, Yuko, Liachko, Ivan, O’Malley, Ronan, Wang, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519199/
https://www.ncbi.nlm.nih.gov/pubmed/37753177
http://dx.doi.org/10.7717/peerj.16129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519199/
https://www.ncbi.nlm.nih.gov/pubmed/37753177
http://dx.doi.org/10.7717/peerj.16129

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