Research output per year
Research output per year
Project Details
Key findings
We have sequenced and assembled almost 300Gbases of sequence from 12 samples and predicted almost 3.8 million proteins, the vast majority of which are novel.
We have assigned domains to these proteins and provided information to our collaborators, leading to over 40 possible novel beta glucosidase candidates.
We have written and released a database system to manage the data: http://www.ark-genomics.org/bioinformatics/meta4
We have assigned domains to these proteins and provided information to our collaborators, leading to over 40 possible novel beta glucosidase candidates.
We have written and released a database system to manage the data: http://www.ark-genomics.org/bioinformatics/meta4
| Status | Finished |
|---|---|
| Effective start/end date | 1/08/11 → 31/01/14 |
| Links | http://www.ark-genomics.org/bioinformatics/meta4 |
Funding
- UK central government bodies/local authorities, health and hospital authorities: £250,535.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle
Auffret, M. D., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., John Wallace, R., Freeman, T. C., Stewart, R., Watson, M. & Roehe, R., 11 Dec 2017, In: Microbiome. 5, 1, 159.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Bovine Host Genetic Variation Influences Rumen Microbial Methane Production with Best Selection Criterion for Low Methane Emitting and Efficiently Feed Converting Hosts based on Metagenomic Gene Abundance
Roehe, R., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., McKain, N., Ross, D. W., Hyslop, J. J., Waterhouse, A., Freeman, T., Watson, M. & Wallace, R. J., 18 Feb 2016, In: PLoS Genetics. 12, 2, p. 1-20 e1005846.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Meta4 a web application for sharing and annotating metagenomic gene predictions using web services
Richardson, E. J., Escalettes, F., Fotheringham, I., Wallace, R. J. & Watson, M., 2013Research output: Non-textual form › Software