Comparative analysis of eccDNA and circRNA tools shows increased accuracy of tool combination
This study offers a broad evaluation of circular detection tools, suggesting that the combination of ≥ 3 tools is necessary for a correct prediction. These insights will inform future experimental design and data analysis pipelines in both experimental and clinical settings.
Authors
- Iñigo Prada-Luengo (ORCID: https://orcid.org/0000-0002-4392-0726)
- David Otaegui (ORCID: https://orcid.org/0000-0002-6625-5976)
- Alex M. Ascensión (ORCID: https://orcid.org/0000-0002-0013-3052)
- Aitor Zabala (ORCID: https://orcid.org/0000-0001-6227-7089)
Institutions
- Copenhagen University Hospital (DK)
- Biomedical Research Networking Center on Neurodegenerative Diseases (ES)
- Institute of Neuroimmunology of the Slovak Academy of Sciences (SK)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- GigaScience
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1093/gigascience/giag017
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00