Edinburgh Research Explorer

Prof Mick Watson

Personal Chair of Bioinformatics and Computational Biology

  1. 2019
  2. Mind the gaps – ignoring errors in long read assemblies can critically affect protein prediction

    Warr, A. & Watson, M. 22 Jan 2019 In : Nature Biotechnology. 3 p.

    Research output: Contribution to journalLetter

  3. 2018
  4. Chromosome Level Genome Assembly and Comparative Genomics between Three Falcon Species Reveals an Unusual Pattern of Genome Organisation

    Joseph, S., O'Connor, R. E., Al Mutery, A. F., Watson, M., Larkin, D. M. & Griffin, D. K. Dec 2018 In : Diversity. 10, 4, 12 p., 113

    Research output: Contribution to journalArticle

  5. Characterisation of the UK honey bee metagenome

    Regan, T., Barnett, M. W., Laetsch, D. R., Bush, S. J., Wragg, D., Budge, G. E., Highet, F., Dainat, B., De Miranda, J. R., Watson, M., Blaxter, M. & Freeman, T. C. 26 Nov 2018 In : Nature Communications. 9, 1, 13 p.

    Research output: Contribution to journalArticle

  6. Functional Annotation of Animal Genomes (FAANG): current Achievements and Roadmap

    Guiffra, E., Tuggle, C. K. & Watson, M. 14 Nov 2018 In : Annual Review of Animal Biosciences.

    Research output: Contribution to journalArticle

  7. MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs)

    Stewart, R., Auffret, M. D., Snelling, T. J., Roehe, R. & Watson, M. 10 Nov 2018 In : Bioinformatics.

    Research output: Contribution to journalArticle

  8. Addressing global ruminant agricultural challenges through understanding the rumen microbiome: Past, present and future

    Huws, S. A. , Creevey, C. J. , Oyama, L. B. , Mizrahi, I. , Denman, S. , Popova, M. , Munoz Tamayo, R. , Forano, E. , Waters, S. M. , Hess, M. , Tapio, I. , Smidt, H. , Kritsan, S. , Yanez Ruiz, D. R. , Belanche, A. , Guan, L. , Gruninger, R. J. , McAllister, T. A. , Newbold, C. J. , Roehe, R. & 17 others Dewhurst, R., Snelling, T. J., Watson, M., Suen, G., Hart, E. H., Kingston-Smith, A. H., Scollan, N. D., do Prado, R. M., Pilau, E. J., Mantovani, H. C., Attwood, G. T., Edwards, J. E., McEwan, N. R., Morrisson , S., Moyorga, Elliott, C. & Morgavi, D. P. 25 Sep 2018 In : Frontiers in Microbiology. 9, 2161

    Research output: Contribution to journalArticle

  9. The madness of microbiome: Attempting to find consensus “best practice” for 16S microbiome studies

    Pollock, J., Glendinning, L., Wisedchanwet, T. & Watson, M. Apr 2018 In : Applied and Environmental Microbiology. 84, 8, 12 p., e02627-17

    Research output: Contribution to journalArticle

  10. Fat accretion measurements strengthen the relationship between feed conversion efficiency and Nitrogen isotopic discrimination while rumen microbial genes contribute little

    Meale, S. J., Auffret, M. D., Watson, M., Morgavi, D. P., Cantalapiedra-Hijar, G., Duthie, C-A., Roehe, R. & Dewhurst, R. J. 1 Mar 2018 In : Scientific Reports. 8, 1, p. 3854

    Research output: Contribution to journalArticle

  11. Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen

    Stewart, R., Auffret, M. D., Warr, A., Wiser, A., Press, M., Langford, K., Liachko, I., Snelling, T. J., Dewhurst, R. J., Walker, A. W., Roehe, R. & Watson, M. 28 Feb 2018 In : Nature Communications. 9, 1, p. 870

    Research output: Contribution to journalArticle

Previous 1 2 3 4 5 6 7 8 ...12 Next