| The I-TASSER Suite: protein structure and function prediction J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang Nature methods 12 (1), 7-8, 2015 | 6328 | 2015 |
| Ab initio protein structure assembly using continuous structure fragments and optimized knowledge‐based force field D Xu, Y Zhang Proteins: Structure, Function, and Bioinformatics 80 (7), 1715-1735, 2012 | 1132 | 2012 |
| Improving the physical realism and structural accuracy of protein models by a two-step atomic-level energy minimization D Xu, Y Zhang Biophysical journal 101 (10), 2525-2534, 2011 | 1116 | 2011 |
| Toward optimal fragment generations for ab initio protein structure assembly D Xu, Y Zhang Proteins: Structure, Function, and Bioinformatics 81 (2), 229-239, 2013 | 234 | 2013 |
| A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure prediction R Yan, D Xu, J Yang, S Walker, Y Zhang Scientific reports 3 (1), 2619, 2013 | 233 | 2013 |
| Geometric moment invariants D Xu, H Li Pattern recognition 41 (1), 240-249, 2008 | 229 | 2008 |
| Automated protein structure modeling in CASP9 by I‐TASSER pipeline combined with QUARK‐based ab initio folding and FG‐MD‐based structure refinement D Xu, J Zhang, A Roy, Y Zhang Proteins: Structure, Function, and Bioinformatics 79 (S10), 147-160, 2011 | 185 | 2011 |
| Generating triangulated macromolecular surfaces by Euclidean distance transform D Xu, Y Zhang PloS one 4 (12), e8140, 2009 | 176 | 2009 |
| FFAS-3D: improving fold recognition by including optimized structural features and template re-ranking D Xu, L Jaroszewski, Z Li, A Godzik Bioinformatics 30 (5), 660-667, 2014 | 127 | 2014 |
| A protocol for computer-based protein structure and function prediction A Roy, D Xu, J Poisson, Y Zhang Journal of visualized experiments: JoVE, 3259, 2011 | 115 | 2011 |
| ThreaDom: extracting protein domain boundary information from multiple threading alignments Z Xue, D Xu, Y Wang, Y Zhang Bioinformatics 29 (13), i247-i256, 2013 | 97 | 2013 |
| Ab Initio structure prediction for Escherichia coli: towards genome-wide protein structure modeling and fold assignment D Xu, Y Zhang Scientific reports 3 (1), 1895, 2013 | 64 | 2013 |
| AIDA: ab initio domain assembly for automated multi-domain protein structure prediction and domain–domain interaction prediction D Xu, L Jaroszewski, Z Li, A Godzik Bioinformatics 31 (13), 2098-2105, 2015 | 63 | 2015 |
| Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes T Landrith, B Li, AA Cass, BR Conner, H LaDuca, DB McKenna, ... NPJ precision oncology 4 (1), 4, 2020 | 61 | 2020 |
| AIDA: ab initio domain assembly server D Xu, L Jaroszewski, Z Li, A Godzik Nucleic acids research 42 (W1), W308-W313, 2014 | 60 | 2014 |
| Detection of structural variation using target captured next-generation sequencing data for genetic diagnostic testing W Mu, B Li, S Wu, J Chen, D Sain, D Xu Genetics in Medicine 21, 1603–1610, 2019 | 44 | 2019 |
| 3-D affine moment invariants generated by geometric primitives D Xu, H Li 18th International Conference on Pattern Recognition (ICPR'06) 2, 544-547, 2006 | 35 | 2006 |
| Quantitative Analysis of BRCA1 and BRCA2 Germline Splicing Variants Using a Novel RNA-Massively Parallel Sequencing Assay S Farber-Katz, V Hsuan, S Wu, T Landrith, H Vuong, D Xu, B Li, J Hoo, ... Frontiers in Oncology 8, 286, 2018 | 31 | 2018 |
| 3-D surface moment invariants D Xu, H Li 18th International Conference on Pattern Recognition (ICPR'06) 4, 173-176, 2006 | 29 | 2006 |
| Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory SH Rosenthal, A Gerasimova, R Ruiz-Vega, K Livingston, RM Kagan, ... Scientific Reports 12 (1), 2054, 2022 | 27 | 2022 |