Evaluating the Impact of Variants on Translation Initiation Sites for Accurate Identification of Functional Open Reading Frames (ORFs)
VarTIS is a computational tool that utilizes multi-branch Convolutional Neural Networks (CNNs) to analyze genetic variants near Translation Initiation Sites (TIS), assessing their impact on translation efficiency. By comparing variant densities in protein-coding regions with adjacent untranslated regions, VarTIS helps identify potential disruptions in the proper identification of functional Open Reading Frames (ORFs).
Authors
- Vasiliki Efstathiou (ORCID: https://orcid.org/0000-0003-2303-5997)
- Nikos Perdikopanis (ORCID: https://orcid.org/0000-0002-8763-3382)
- Thanos Lakes
Institutions
- National and Kapodistrian University of Athens (GR)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/bibm62325.2024.10822565
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00