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Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads K Shafin, T Pesout, PC Chang, M Nattestad, A Kolesnikov, S Goel, G Baid, ... Nature methods 18 (11), 1322-1332, 2021 | 237* | 2021 |
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DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer G Baid, DE Cook, K Shafin, T Yun, F Llinares-López, Q Berthet, ... Nature Biotechnology 41 (2), 232-238, 2023 | 121* | 2023 |
Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing SD Goenka, JE Gorzynski, K Shafin, DG Fisk, T Pesout, TD Jensen, ... Nature Biotechnology 40 (7), 1035-1041, 2022 | 80 | 2022 |
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An extensive sequence dataset of gold-standard samples for benchmarking and development G Baid, M Nattestad, A Kolesnikov, S Goel, H Yang, PC Chang, A Carroll bioRxiv, 2020.12. 11.422022, 2020 | 24 | 2020 |
DeepTrio: variant calling in families using deep learning A Kolesnikov, S Goel, M Nattestad, T Yun, G Baid, H Yang, CY McLean, ... bioRxiv, 2021.04. 05.438434, 2021 | 21 | 2021 |
Learning from data-rich problems: a case study on genetic variant calling R Yi, PC Chang, G Baid, A Carroll arXiv preprint arXiv:1911.05151, 2019 | 7 | 2019 |
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Pan-conserved segment tags identify ultra-conserved sequences across assemblies in the human pangenome HJ Lee, SU Greer, DS Pavlichin, B Zhou, AE Urban, T Weissman, ... Cell Reports Methods 3 (8), 2023 | 5 | 2023 |
Using Nucleus and TensorFlow for DNA Sequencing Error Correction G Baid, H Li, PC Chang | 2 | 2019 |
An Attention-Based Model for Transcription Factor Binding Site Prediction G Baid | 1 | 2018 |
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