Quantify genetic variants' regulatory potential via a hybrid sequence-oriented model

Abstract Understanding how noncoding DNA determines gene expression is critical for decoding the functional genome. Leveraging a hybrid sequence-oriented architecture, we developed SVEN to model (and predict) tissue-specific transcriptomic impacts for large-scale structural variants across over 200 tissues and cell lines. We expect that SVEN will enable more effective in silico analysis and interpretation of human genome-wide disease-related genetic variants. Competing Interest Statement The authors have declared no competing interest. Footnotes Copyright The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.