The genome of a songbird WC Warren, DF Clayton, H Ellegren, AP Arnold, LDW Hillier, A Künstner, ... Nature 464 (7289), 757-762, 2010 | 902 | 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 | 466 | 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 | 420 | 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 | 391 | 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 | 307 | 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 | 301 | 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 | 296 | 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 | 277 | 2015 |
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 | 272 | 2005 |
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 | 256 | 2018 |
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 | 241 | 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 | 214 | 2013 |
CoXpress: differential co-expression in gene expression data M Watson BMC bioinformatics 7 (1), 509, 2006 | 182 | 2006 |
The automatic annotation of bacterial genomes EJ Richardson, M Watson Briefings in bioinformatics 14 (1), 1-12, 2013 | 171 | 2013 |
Errors in long-read assemblies can critically affect protein prediction M Watson, A Warr Nature biotechnology 37 (2), 124-126, 2019 | 162 | 2019 |
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 | 159 | 2008 |
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 | 156 | 2017 |
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 | 149 | 2020 |
Errors in RNA-Seq quantification affect genes of relevance to human disease C Robert, M Watson Genome biology 16 (1), 177, 2015 | 149 | 2015 |
Successful test launch for nanopore sequencing NJ Loman, M Watson Nature methods 12 (4), 303, 2015 | 140 | 2015 |