Benchmarking with synthetic communities provides a baseline for virus-host inferences from Hi-C proximity linking.

Saved in:
Bibliographic Details
Title: Benchmarking with synthetic communities provides a baseline for virus-host inferences from Hi-C proximity linking.
Authors: Shatadru RN; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Center of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., Solonenko NE; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Center of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., Sun CL; Center of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., Sullivan MB; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Center of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America.; Byrd Polar and Climate Research Center, The Ohio State University, Columbus, Ohio, United States of America.; Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, United States of America.
Source: PLoS biology [PLoS Biol] 2025 Nov 20; Vol. 23 (11), pp. e3003510. Date of Electronic Publication: 2025 Nov 20 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet ISSN: 1545-7885 (Electronic) Linking ISSN: 15449173 NLM ISO Abbreviation: PLoS Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1545-7885
DOI:10.1371/journal.pbio.3003510