Integrated metagenomic analysis of the rumen microbiome of cattle reveals key biological mechanisms associated with methane traits
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76407190
- Type
- D - Journal article
- DOI
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10.1016/j.ymeth.2017.05.029
- Title of journal
- Methods
- Article number
- -
- First page
- 108
- Volume
- 124
- Issue
- -
- ISSN
- 1046-2023
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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8
- Research group(s)
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B - Artificial Intelligence Research Centre
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <28>This research was one of the key outputs from the EU Horizon2020 MetaPlat project (Horizon2020 MSCA-RISE, Grant No. 690998, 12/2015–12/2019, D5.3 Technical Report on Platform Integration WP4), coordinated by Ulster University. The methodology and findings presented in the paper form the basis of several further publications, including DOI: 10.1109/TCBB.2018.2858808. It has also led to a co-funded PhD project between Ulster University and Scotland’s Rural College (2018-2022) and a 4-year PhD studentship with the Agri-Food and Biosciences Institute funded by the Agriculture Department Ireland (2018-2023) on predicting cattle phenotypes, and modelling methane emission respectively.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -