Microbiome geographic population structure (mGPS) detects fine-scale geography

Zhang, Y., McCarthy, L., Ruff, S.E. et al. (1 more author) (2024) Microbiome geographic population structure (mGPS) detects fine-scale geography. Genome Biology and Evolution, 16 (11). evae209. ISSN 1759-6653

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Zhang, Y.
  • McCarthy, L.
  • Ruff, S.E.
  • Elhaik, E.
Editors:
  • Dagan, T.
Copyright, Publisher and Additional Information:

© The Author(s) 2024. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: Biogeogrphical predictions; Forensics; Machine Learning; Microbiome; Microbiome Geographic Population Structure (mGPS); antimicrobial resistance (AMR)
Dates:
  • Published: November 2024
  • Published (online): 7 October 2024
  • Accepted: 20 September 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences
Depositing User: Symplectic Sheffield
Date Deposited: 19 Nov 2024 12:18
Last Modified: 19 Nov 2024 12:18
Status: Published
Publisher: Oxford University Press (OUP)
Refereed: Yes
Identification Number: 10.1093/gbe/evae209
Related URLs:
Open Archives Initiative ID (OAI ID):

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