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| Predicting splicing from primary sequence with deep learning K Jaganathan, SK Panagiotopoulou, JF McRae, SF Darbandi, D Knowles, ... Cell 176 (3), 535-548. e24, 2019 | 2058 | 2019 |
| Haplotyping germline and cancer genomes with high-throughput linked-read sequencing GXY Zheng, BT Lau, M Schnall-Levin, M Jarosz, JM Bell, CM Hindson, ... Nature biotechnology 34 (3), 303-311, 2016 | 892 | 2016 |
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| Extensive variation in chromatin states across humans M Kasowski, S Kyriazopoulou-Panagiotopoulou, F Grubert, JB Zaugg, ... Science 342 (6159), 750-752, 2013 | 417 | 2013 |
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| Reconstruction of genealogical relationships with applications to Phase III of HapMap S Kyriazopoulou-Panagiotopoulou, D Kashef Haghighi, SJ Aerni, ... Bioinformatics 27 (13), i333-i341, 2011 | 22 | 2011 |
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| Deep learning-based pathogenicity classifier for promoter single nucleotide variants (pSNVs) SK PANAGIOTOPOULOU, F Kai-How US Patent 11,861,491, 2024 | 4 | 2024 |
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| Systems and methods for determining structural variation and phasing using variant call data S Kyriazopoulou-Panagiotopoulou, P Marks, M Schnall-Levin, X Zheng, ... US Patent App. 17/098,139, 2021 | 1 | 2021 |
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