Research output per year
Research output per year
Organisation profile
Overview of our Research
The Discipline of Bioinformatics is a vibrant community of full-time academic staff, postdoctoral researchers, research assistants, and graduate (PhD & MSc) researchers. Members of the discipline have expertise in the development and application of novel statistical and computational methods to analyze large biological datasets, as well as specific interests in the areas of cancer multi-omics, complex disease genomics, pathogen genomics, and molecular evolution. Research within the discipline is supported by key national and international funders, including Horizon Europe, Research Ireland, and the Health Research Board. For further information, please see individual profiles.
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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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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Seyed Aghil Hooshmand
- School of Mathematical and Statistical Sciences, Bioinformatics - Post Doctoral Researcher
Person
Research output
- 20 Article
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Galway RNA Research Cluster, University of Galway, Ireland: PP IIB15
Hay, E. A., Coleman, C. M., O’Toole, D., Ritter, T., McDonagh, B., Dwyer, R. M., Broin, P. Ó., Howard, L., Quinlan, L. R. & Brennan, M. Á., 2025, In: Free Radical Biology And Medicine. 233, p. S76Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Probing the limits of cis-acting gene regulation using a model of allelic imbalance quantitative trait loci
Seoighe, C., Cai, J. J. (Editor), Connaire, S. & Chopra, M., 30 Apr 2025, In: PLoS Genetics. 21, 4, e1011446.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Non-Negative matrix factorization combined with kernel regression for the prediction of adverse drug reaction profiles
Zhong, Y., Seoighe, C. & Yang, H., 5 Jan 2024, In: Bioinformatics Advances.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review