Order among chaos: High throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system.
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| Title: | Order among chaos: High throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system. |
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| Authors: | Chen MY; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada., Fulton LM; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada., Huang I; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada., Liman A; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada., Hossain SS; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada., Hamilton CD; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada., Song S; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada., Geissmann Q; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada.; Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark., King KC; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada.; Department of Zoology, The University of British Columbia, Vancouver, Canada.; Department of Biology, University of Oxford, Oxford, United Kingdom., Haney CH; Department of Microbiology and Immunology, The University of British Columbia, Vancouver, Canada.; Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America. |
| Source: | PLoS pathogens [PLoS Pathog] 2025 Feb 11; Vol. 21 (2), pp. e1012894. Date of Electronic Publication: 2025 Feb 11 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238921 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7374 (Electronic) Linking ISSN: 15537366 NLM ISO Abbreviation: PLoS Pathog Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7374 |
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| DOI: | 10.1371/journal.ppat.1012894 |
