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Items: 11

1.

Dynamic and integrative approaches to understanding pathogen spillover.

Becker DJ, Washburne AD, Faust CL, Pulliam JRC, Mordecai EA, Lloyd-Smith JO, Plowright RK.

Philos Trans R Soc Lond B Biol Sci. 2019 Sep 30;374(1782):20190014. doi: 10.1098/rstb.2019.0014. Epub 2019 Aug 12. No abstract available.

2.

The problem of scale in the prediction and management of pathogen spillover.

Becker DJ, Washburne AD, Faust CL, Mordecai EA, Plowright RK.

Philos Trans R Soc Lond B Biol Sci. 2019 Sep 30;374(1782):20190224. doi: 10.1098/rstb.2019.0224. Epub 2019 Aug 12.

PMID:
31401958
3.

Percolation models of pathogen spillover.

Washburne AD, Crowley DE, Becker DJ, Manlove KR, Childs ML, Plowright RK.

Philos Trans R Soc Lond B Biol Sci. 2019 Sep 30;374(1782):20180331. doi: 10.1098/rstb.2018.0331. Epub 2019 Aug 12.

PMID:
31401950
4.

Prioritizing surveillance of Nipah virus in India.

Plowright RK, Becker DJ, Crowley DE, Washburne AD, Huang T, Nameer PO, Gurley ES, Han BA.

PLoS Negl Trop Dis. 2019 Jun 27;13(6):e0007393. doi: 10.1371/journal.pntd.0007393. eCollection 2019 Jun.

5.

The Microbiome Stress Project: Toward a Global Meta-Analysis of Environmental Stressors and Their Effects on Microbial Communities.

Rocca JD, Simonin M, Blaszczak JR, Ernakovich JG, Gibbons SM, Midani FS, Washburne AD.

Front Microbiol. 2019 Jan 10;9:3272. doi: 10.3389/fmicb.2018.03272. eCollection 2018.

6.

Taxonomic patterns in the zoonotic potential of mammalian viruses.

Washburne AD, Crowley DE, Becker DJ, Olival KJ, Taylor M, Munster VJ, Plowright RK.

PeerJ. 2018 Nov 28;6:e5979. doi: 10.7717/peerj.5979. eCollection 2018.

7.

Signatures of ecological processes in microbial community time series.

Faust K, Bauchinger F, Laroche B, de Buyl S, Lahti L, Washburne AD, Gonze D, Widder S.

Microbiome. 2018 Jun 28;6(1):120. doi: 10.1186/s40168-018-0496-2.

8.

Methods for phylogenetic analysis of microbiome data.

Washburne AD, Morton JT, Sanders J, McDonald D, Zhu Q, Oliverio AM, Knight R.

Nat Microbiol. 2018 Jun;3(6):652-661. doi: 10.1038/s41564-018-0156-0. Epub 2018 May 24. Review.

PMID:
29795540
9.

Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets.

Washburne AD, Silverman JD, Leff JW, Bennett DJ, Darcy JL, Mukherjee S, Fierer N, David LA.

PeerJ. 2017 Feb 9;5:e2969. doi: 10.7717/peerj.2969. eCollection 2017.

10.

A phylogenetic transform enhances analysis of compositional microbiota data.

Silverman JD, Washburne AD, Mukherjee S, David LA.

Elife. 2017 Feb 15;6. pii: e21887. doi: 10.7554/eLife.21887.

11.

Novel Covariance-Based Neutrality Test of Time-Series Data Reveals Asymmetries in Ecological and Economic Systems.

Washburne AD, Burby JW, Lacker D.

PLoS Comput Biol. 2016 Sep 30;12(9):e1005124. doi: 10.1371/journal.pcbi.1005124. eCollection 2016 Sep.

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