Mick Watson
Mick Watson
Principal Data Scientist, DSM
Verified email at - Homepage
Cited by
Cited by
The genome of a songbird
WC Warren, DF Clayton, H Ellegren, AP Arnold, LDW Hillier, A Künstner, ...
Nature 464 (7289), 757-762, 2010
Comparative genome analysis of Salmonella Enteritidis PT4 and Salmonella Gallinarum 287/91 provides insights into evolutionary and host adaptation pathways
NR Thomson, DJ Clayton, D Windhorst, G Vernikos, S Davidson, ...
Genome research 18 (10), 1624-1637, 2008
The madness of microbiome: Attempting to find consensus “best practice” for 16S microbiome studies
J Pollock, L Glendinning, T Wisedchanwet, M Watson
Applied and environmental microbiology 84 (7), e02627-17, 2018
Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen
RD Stewart, MD Auffret, A Warr, AH Wiser, MO Press, KW Langford, ...
Nature communications 9 (1), 1-11, 2018
The rumen microbial metagenome associated with high methane production in cattle
RJ Wallace, JA Rooke, N McKain, CA Duthie, JJ Hyslop, DW Ross, ...
BMC genomics 16 (1), 839, 2015
Compendium of 4,941 rumen metagenome-assembled genomes for rumen microbiome biology and enzyme discovery
RD Stewart, MD Auffret, A Warr, AW Walker, R Roehe, M Watson
Nature Biotechnology 37 (8), 953-961, 2019
Bovine host genetic variation influences rumen microbial methane production with best selection criterion for low methane emitting and efficiently feed converting hosts based …
R Roehe, RJ Dewhurst, CA Duthie, JA Rooke, N McKain, DW Ross, ...
PLoS genetics 12 (2), e1005846, 2016
Coordinated international action to accelerate genome-to-phenome with FAANG, the Functional Annotation of Animal Genomes project
L Andersson, AL Archibald, CD Bottema, R Brauning, SC Burgess, ...
Genome biology 16 (1), 57, 2015
Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future
SA Huws, CJ Creevey, LB Oyama, I Mizrahi, SE Denman, M Popova, ...
Frontiers in microbiology 9, 2161, 2018
A genomic analysis of chicken cytokines and chemokines
P Kaiser, TY Poh, L Rothwell, S Avery, S Balu, US Pathania, S Hughes, ...
Journal of interferon & cytokine research 25 (8), 467-484, 2005
Exome sequencing: current and future perspectives
A Warr, C Robert, D Hume, A Archibald, N Deeb, M Watson
G3: Genes| Genomes| Genetics 5 (8), 1543-1550, 2015
Knockdown of piRNA pathway proteins results in enhanced Semliki Forest virus production in mosquito cells
E Schnettler, CL Donald, S Human, M Watson, RWC Siu, M McFarlane, ...
The Journal of general virology 94 (Pt 7), 1680, 2013
CoXpress: differential co-expression in gene expression data
M Watson
BMC bioinformatics 7 (1), 509, 2006
Errors in long-read assemblies can critically affect protein prediction
M Watson, A Warr
Nature biotechnology 37 (2), 124-126, 2019
An improved pig reference genome sequence to enable pig genetics and genomics research
A Warr, N Affara, B Aken, H Beiki, DM Bickhart, K Billis, W Chow, L Eory, ...
GigaScience 9 (6), giaa051, 2020
The automatic annotation of bacterial genomes
EJ Richardson, M Watson
Briefings in bioinformatics 14 (1), 1-12, 2013
A review of bioinformatics tools for bio-prospecting from metagenomic sequence data
DD Roumpeka, RJ Wallace, F Escalettes, I Fotheringham, M Watson
Frontiers in genetics 8, 23, 2017
Errors in RNA-Seq quantification affect genes of relevance to human disease
C Robert, M Watson
Genome biology 16 (1), 177, 2015
MicroRNA profile of Marek's disease virus-transformed T-cell line MSB-1: predominance of virus-encoded microRNAs
Y Yao, Y Zhao, H Xu, LP Smith, CH Lawrie, M Watson, V Nair
Journal of virology 82 (8), 4007-4015, 2008
Successful test launch for nanopore sequencing
NJ Loman, M Watson
Nature methods 12 (4), 303, 2015
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