Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research Statement

Work within my team at Queen’s University Belfast lies in translational research. Our endeavours in this landscape centre around the delivery of compute capabilities to handle the ‘big data’ era and delivery analytics bespoke to scientific discovery. Key to driving discovery in this space are intelligent software capabilities and integrative frameworks in which to embed information allowing data persistent and analytic proficiencies. These endeavours are becoming paramount in all modern research programs and central to multi-stakeholder projects around data transparency and ownership. Integromic software developed from my group is now being applied in multi-centre projects on large collaborative initiatives. These ongoing programs and research interests are becoming central frameworks for much of the efforts within QUB and UK wide hubs.

Research Interests

We work in a range of bioinformatic areas that integrate information to common platform spanning concepts from evolutionary algorithms and natural language processing to phylogenetics and evolution. This has recently culminated in the QUB spin out company Sonrai Analytics, an integrative software solution for modern day ‘big data’.

Fingerprint Dive into the research topics where Darragh McArt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 86 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.


Research Output

A Novel Role for Cathepsin S as a Potential Biomarker in Triple Negative Breast Cancer

Wilkinson, R., Burden, R., McDowell, S., McArt, D., McQuaid, S., Bingham, V., Williams, R., Cox, O., O'Connor, R., McCabe, N., Kennedy, R., Buckley, N. E. & Scott, C., 28 Jun 2019, In : Journal of Oncology.

Research output: Contribution to journalArticle

Open Access
  • 82 Downloads (Pure)

    A Workbench using Evolutionary Genetic Algorithms for analyzing association in TCGA Data

    Gilmore, A., Alderdice, M., Savage, K., O’Reilly, P. G., Roddy, A., Dunne, P., Lawler, M., McDade, S., Waugh, D. & McArt, D., 13 Feb 2019, In : Cancer Research.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Citation (Scopus)
    17 Downloads (Pure)

    Clinically Actionable Insights into Initial and Matched Recurrent Glioblastomas to Inform Novel Treatment Approaches

    Ellis, H. P., McInerney, C. E., Schrimpf, D., Sahm, F., Stupnikov, A., Wadsley, M., Wragg, C., White, P., Prise, K. M., McArt, D. G. & Kurian, K. M., 31 Dec 2019, In : Journal of Oncology. 2019, p. 4878547

    Research output: Contribution to journalArticle

    Open Access
  • 37 Downloads (Pure)

    Defining the molecular evolution of extrauterine high grade serous carcinoma

    Beirne, J. P., McArt, D. G., Roddy, A., McDermott, C., Ferris, J., Buckley, N. E., Coulter, P., McCabe, N., Eddie, S. L., Dunne, P. D., O'Reilly, P., Gilmore, A., Feeney, L., Ewing, D. L., Drapkin, R. I., Salto-Tellez, M., Kennedy, R. D., Harley, I. J. G., McCluggage, W. G. & Mullan, P. B., 04 Sep 2019, In : Gynecologic Oncology. 155, 2, p. 305-317 13 p.

    Research output: Contribution to journalArticle

  • Open Access
  • 70 Downloads (Pure)