Projects per year
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Dive into the research topics where Integrative Animal Sciences is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Bingjie Li
- Animal And Veterinary Sciences, Integrative Animal Sciences - SRUC Challenge Research Fellow
- Food Security Challenge Centre
- Scotland's Rural College - SRUC Challenge Research Fellow
Person: Academic contract that is research only
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Understanding Molecular Variations Of Cattle Genome By Machine Learning
Li, B. (Supervisor) & Wells, A. (PhD Student)
1/10/23 → 30/09/27
Project: PhD project
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Integrating genomics and transcriptomics to empower dairy breeding for feed efficient animals
Li, B. (PI)
20/03/23 → 19/03/26
Project: Research
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Seascape Approach To Improving Fisheries Sustainability
Cullen, G. (PhD Student), Wall, E. (Supervisor) & Wall, E. (PI)
1/10/22 → 30/09/26
Project: PhD project
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Genetic regulation of gene expression across multiple tissues in chickens
The ChickenGTEx Consortium, 2025, (Accepted/In press) In: Nature Genetics. 1821.Research output: Contribution to journal › Article › peer-review
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Network analyses unraveled the complex interactions in the rumen microbiota associated with methane emission in dairy cattle
Ye, X., Sahana, G., Lund, M. S., Li, B. & Cai, Z., 11 Mar 2025, (First published) In: Animal Microbiome. 7, 1, 24.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
The Farm Animal Genotype–Tissue Expression (FarmGTEx) Project
The FarmGTEx Consortium, Apr 2025, In: Nature Genetics. 57, 4, p. 786-796 11 p., 604.Research output: Contribution to journal › Article › peer-review
Datasets
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Camelid keeper identification sources
Henry, M. (Creator) & Pritchard, T. (Creator), Scotland's Rural College (SRUC), 27 Jun 2024
DOI: 10.58073/sruc.26106478, https://sruc.figshare.com/articles/dataset/Camelid_keeper_identification_sources/26106478
Dataset
Prizes
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Queen's Anniversary Prize
Wall, E. (Recipient), Coffey, M. (Recipient) & Roberts, D. (Recipient), Oct 2017
Prize
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Activities
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Predicting Bovine Tuberculosis Status from Milk Mid-Infrared Spectral Data Using Deep Learning
Denholm, S. (Speaker)
14 Apr 2021Activity: Talk, evidence or presentation types › Oral presentation
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Deep Learning for Healthcare Image Analysis
Denholm, S. (Participant)
11 Nov 2020 → 12 Nov 2020Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
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SRUC-NVIDIA GPU Hackathon
Coffey, M. (Organiser) & Denholm, S. (Organiser)
19 Feb 2020 → 21 Feb 2020Activity: Participating in or organising an event types › Organising a conference, workshop, ...
Press/Media
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Bovine TB breakthrough from 'deep learning' computers
Denholm, S. & Coffey, M.
11/04/21
1 item of Media coverage
Press/Media
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Scotland’s Rural College Makes Moo-ves Against Bovine Tuberculosis with AI
Denholm, S. & Coffey, M.
15/12/20
1 Media contribution
Press/Media
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Impacts
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Incorporating novel data-driven approaches into cattle genetic improvement programmes leads to better animal performance and overall economic gains
Wall, E. (Participant), Coffey, M. (Participant), Pritchard, T. (Participant), Banos, G. (Participant) & Mrode, R. (Participant)
Impact: Technological
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