Search Results - C.J. Creevey

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  1. 1
    integration of ‘omic’ disciplines and systems biology in cattle breeding

    integration of ‘omic’ disciplines and systems biology in cattle breeding by Berry, D.P, Meade, K.G, Mullen, M.P, Butler, S, Diskin, M.G, Morris, D, Creevey, C.J

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  2. 2
    CRANN: detecting adaptive evolution in protein-coding DNA sequences

    CRANN: detecting adaptive evolution in protein-coding DNA sequences by Creevey, C.J., McInerney, J.O.

    Published in Bioinformatics
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  3. 3
    Meta-proteomics of rumen microbiota indicates niche compartmentalisation and functional dominance in a limited number of metabolic pathways between abundant bacteria

    Meta-proteomics of rumen microbiota indicates niche compartmentalisation and functional dominance in a limited number of metabolic pathways between abundant bacteria by Hart, E. H., Creevey, C. J., Hitch, T., Kingston-Smith, A. H.

    Published in Scientific reports
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  4. 4
    Review: Towards the next-generation models of the rumen microbiome for enhancing predictive power and guiding sustainable production strategies

    Review: Towards the next-generation models of the rumen microbiome for enhancing predictive power and guiding sustainable production strategies by R. Muñoz-Tamayo, M. Davoudkhani, I. Fakih, C.E. Robles-Rodriguez, F. Rubino, C.J. Creevey, E. Forano

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  5. 5
    Review: Towards the next-generation models of the rumen microbiome for enhancing predictive power and guiding sustainable production strategies

    Review: Towards the next-generation models of the rumen microbiome for enhancing predictive power and guiding sustainable production strategies by Muñoz-Tamayo, R., Davoudkhani, M., Fakih, I., Robles-Rodriguez, C.E., Rubino, F., Creevey, C.J., Forano, E.

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  6. 6
    52. Integration of microbial time series into a mechanistic model of the rumen microbiome under the Rusitec condition

    52. Integration of microbial time series into a mechanistic model of the rumen microbiome under the Rusitec condition by Davoudkhani, M., Rubino, F., Creevey, C.J., Belanche, A., Muñoz-Tamayo, R.

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  7. 7
    18. Towards the next-generation models of the rumen microbiome for enhancing predictive power and guiding sustainable production strategies

    18. Towards the next-generation models of the rumen microbiome for enhancing predictive power and guiding sustainable production strategies by Muñoz-Tamayo, R., Davoudkhani, M., Fakih, I., Got, J., Robles-Rodriguez, C.E., Rubino, F., Creevey, C.J., Siegel, A., Forano, E.

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  8. 8
    Duplicate retention in signalling proteins and constraints from network dynamics

    Duplicate retention in signalling proteins and constraints from network dynamics by SOYER, O.S, CREEVEY, C.J

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  9. 9
    Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future

    Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future by Huws, Sharon A, Creevey, Christopher J, Oyama, Linda B, Mizrahi, Itzhak, Denman, Stuart E, Popova, Milka, Muñoz-Tamayo, Rafael, Forano, Evelyne, Waters, Sinead M, Hess, Matthias, Tapio, Ilma, Smidt, Hauke, Krizsan, Sophie J, Yáñez-Ruiz, David R, Belanche, Alejandro, Guan, Leluo, Gruninger, Robert J, McAllister, Tim A, Newbold, C Jamie, Roehe, Rainer, Dewhurst, Richard J, Snelling, Tim J, Watson, Mick, Suen, Garret, Hart, Elizabeth H, Kingston-Smith, Alison H, Scollan, Nigel D, do Prado, Rodolpho M, Pilau, Eduardo J, Mantovani, Hilario C, Attwood, Graeme T, Edwards, Joan E, McEwan, Neil R, Morrisson, Steven, Mayorga, Olga L, Elliott, Christopher, Morgavi, Diego P

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