| Developmental chromatin programs determine oncogenic competence in melanoma A Baggiolini, SJ Callahan, E Montal, JM Weiss, T Trieu, MM Tagore, ... Science 373 (6559), eabc1048, 2021 | 103 | 2021 |
| Large-scale reconstruction of 3D structures of human chromosomes from chromosomal contact data T Trieu, J Cheng Nucleic acids research 42 (7), e52-e52, 2014 | 96 | 2014 |
| MOGEN: a tool for reconstructing 3D models of genomes from chromosomal conformation capturing data T Trieu, J Cheng Bioinformatics 32 (9), 1286-1292, 2016 | 64 | 2016 |
| 3D genome structure modeling by Lorentzian objective function T Trieu, J Cheng Nucleic acids research 45 (3), 1049-1058, 2017 | 61 | 2017 |
| Spatial genome re-organization between fetal and adult hematopoietic stem cells C Chen, W Yu, J Tober, P Gao, B He, K Lee, T Trieu, GA Blobel, NA Speck, ... Cell reports 29 (12), 4200-4211. e7, 2019 | 60 | 2019 |
| Chromosome3D: reconstructing three-dimensional chromosomal structures from Hi-C interaction frequency data using distance geometry simulated annealing B Adhikari, T Trieu, J Cheng BMC genomics 17, 1-9, 2016 | 57 | 2016 |
| DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure T Trieu, A Martinez-Fundichely, E Khurana Genome biology 21, 1-11, 2020 | 47 | 2020 |
| GMOL: an interactive tool for 3D genome structure visualization J Nowotny, A Wells, L Xu, R Cao, T Trieu, C He, J Cheng Scientific Reports, 2015 | 39 | 2015 |
| Whole-genome characterization of lung adenocarcinomas lacking alterations in the RTK/RAS/RAF pathway J Carrot-Zhang, X Yao, S Devarakonda, A Deshpande, JS Damrauer, ... Cell reports 34 (5), 2021 | 31 | 2021 |
| GenomeFlow: a comprehensive graphical tool for modeling and analyzing 3D genome structure T Trieu, O Oluwadare, J Wopata, J Cheng Bioinformatics 35 (8), 1416-1418, 2019 | 29 | 2019 |
| Hierarchical reconstruction of high-resolution 3D models of large chromosomes T Trieu, O Oluwadare, J Cheng Scientific reports 9 (1), 4971, 2019 | 26 | 2019 |
| Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data J Nowotny, S Ahmed, L Xu, O Oluwadare, H Chen, N Hensley, T Trieu, ... BMC bioinformatics 16, 1-19, 2015 | 25 | 2015 |
| An improvement for declat algorithm TA Trieu, Y Kunieda Proceedings of the 6th International Conference on Ubiquitous Information …, 2012 | 19 | 2012 |
| A deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure T Trieu, E Khurana bioRxiv, 516849, 2019 | 3 | 2019 |
| TAD hierarchy restricts poised LTR activation and loss of TAD hierarchy promotes LTR co-option in cancer EWP Wong, M Sahin, R Yang, UJ Lee, YA Zhan, R Misra, F Tomas, ... bioRxiv, 2024.05. 31.596845, 2024 | | 2024 |
| Predicting the impact of somatic mutations on chromatin conformation using deep learning T Trieu, E Khurana Cancer Research 79 (13_Supplement), 2443-2443, 2019 | | 2019 |
| Hierarchical Reconstruction of High-Resolution 3D Models of Human Chromosomes T Trieu, O Oluwadare, J Cheng bioRxiv, 415810, 2018 | | 2018 |
| 3D genome structure reconstruction from chromosomal contact data TA Trieu University of Missouri--Columbia, 2017 | | 2017 |
Jianlin ChengCurators' Distinguished Professor and Thompson Distinguished Professor, University of MissouriVerified email at missouri.edu
