Author

Samuel Bryson

ORCID 0000-0002-6523-8031Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Anabelle Damerum· 1 shared Benjamin AuchiD· 1 shared Brett Farthing· 1 shared Christopher QuinceiD· 1 shared Daniel J. NaskoiD· 1 shared Daniel M. PortikiD· 1 shared Gaëtan Benoit· 1 shared Hayley MangelsoniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Anabelle Damerum

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1 paper

Recent·Most cited

Highly accurate metagenome-assembled genomes from human gut microbiota using long-read assembly, binning, and consolidation methods

Daniel M. Portik, Xiaowen Feng, Gaëtan Benoit, Daniel J. Nasko, Benjamin Auch, Samuel Bryson, Raúl J. Cano, Martha R. Carlin, Anabelle Damerum, Brett Farthing, Jonas Grove, Moutusee Islam, Kyle W. Langford, Ivan Liachko, Kristopher M. Locken, , Jeremy E. Wilkinson

This study improves metagenome-assembled genomes from human gut microbiota using long-read sequencing and novel assembly methods, yielding more high-quality MAGs and uncovering uncultured diversity.

bioRxiv · May 10, 2024 · PreprintMicrobiology