| Iterative usage of fixed and random effect models for powerful and efficient genome-wide association studies X Liu, M Huang, B Fan, ES Buckler, Z Zhang PLoS genetics 12 (2), e1005767, 2016 | 1067 | 2016 |
| rMVP: a memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study L Yin, H Zhang, Z Tang, J Xu, D Yin, Z Zhang, X Yuan, M Zhu, S Zhao, X Li, ... Genomics, Proteomics and Bioinformatics 19 (4), 619-628, 2021 | 480 | 2021 |
| BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions M Huang, X Liu, Y Zhou, RM Summers, Z Zhang Gigascience 8 (2), giy154, 2019 | 362 | 2019 |
| GAPIT version 2: an enhanced integrated tool for genomic association and prediction Y Tang, X Liu, J Wang, M Li, Q Wang, F Tian, Z Su, Y Pan, D Liu, AE Lipka, ... The plant genome 9 (2), plantgenome2015.11.0120, 2016 | 340 | 2016 |
| Stepwise selection on homeologous PRR genes controlling flowering and maturity during soybean domestication S Lu, L Dong, C Fang, S Liu, L Kong, Q Cheng, L Chen, T Su, H Nan, ... Nature Genetics 52 (4), 428-436, 2020 | 253 | 2020 |
| Factors affecting the accuracy of genomic selection for agricultural economic traits in maize, cattle, and pig populations H Zhang, L Yin, M Wang, X Yuan, X Liu Frontiers in genetics 10, 441967, 2019 | 148 | 2019 |
| Enrichment of statistical power for genome-wide association studies M Li, X Liu, P Bradbury, J Yu, YM Zhang, RJ Todhunter, ES Buckler, ... BMC biology 12, 1-10, 2014 | 144 | 2014 |
| Identification of genetic variants associated with maize flowering time using an extremely large multi‐genetic background population Y Li, C Li, PJ Bradbury, X Liu, F Lu, CM Romay, JC Glaubitz, X Wu, ... The Plant Journal 86 (5), 391-402, 2016 | 134 | 2016 |
| Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) X Wang, R Zhang, W Song, L Han, X Liu, X Sun, M Luo, K Chen, Y Zhang, ... Scientific reports 9 (1), 3458, 2019 | 116 | 2019 |
| KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters L Yin, H Zhang, X Zhou, X Yuan, S Zhao, X Li, X Liu Genome biology 21, 1-22, 2020 | 65 | 2020 |
| Genome-wide association study reveals candidate genes for growth relevant traits in pigs Z Tang, J Xu, L Yin, D Yin, M Zhu, M Yu, X Li, S Zhao, X Liu Frontiers in genetics 10, 302, 2019 | 48 | 2019 |
| Identification of growth trait related genes in a Yorkshire purebred pig population by genome-wide association studies Q Meng, K Wang, X Liu, H Zhou, L Xu, Z Wang, M Fang Asian-Australasian journal of animal sciences 30 (4), 462, 2017 | 47 | 2017 |
| A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model Y Fu, J Xu, Z Tang, L Wang, D Yin, Y Fan, D Zhang, F Deng, Y Zhang, ... Communications Biology 3 (1), 502, 2020 | 46 | 2020 |
| Genetic determinants of pig birth weight variability X Wang, X Liu, D Deng, M Yu, X Li BMC genetics 17, 41-48, 2016 | 37 | 2016 |
| Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits Y Liu, X Liu, Z Zheng, T Ma, Y Liu, H Long, H Cheng, M Fang, J Gong, X Li, ... Genetics Selection Evolution 52, 1-11, 2020 | 31 | 2020 |
| Rapid visual CRISPR assay: A naked-eye colorimetric detection method for nucleic acids based on CRISPR/cas12a and a convolutional neural network S Xie, D Tao, Y Fu, B Xu, Y Tang, L Steinaa, JD Hemmink, W Pan, ... ACS synthetic biology 11 (1), 383-396, 2021 | 30 | 2021 |
| Whole genome variants across 57 pig breeds enable comprehensive identification of genetic signatures that underlie breed features J Xu, Y Fu, Y Hu, L Yin, Z Tang, D Yin, M Zhu, M Yu, X Li, Y Zhou, S Zhao, ... Journal of Animal Science and Biotechnology 11, 1-16, 2020 | 21 | 2020 |
| Ideas in genomic selection with the potential to transform plant molecular breeding: a review M McGowan, J Wang, H Dong, X Liu, Y Jia, X Wang, H Iwata, Y Li, ... Plant breeding reviews 45, 273-319, 2021 | 19 | 2021 |
| HIBLUP: an integration of statistical models on the BLUP framework for efficient genetic evaluation using big genomic data L Yin, H Zhang, Z Tang, D Yin, Y Fu, X Yuan, X Li, X Liu, S Zhao Nucleic Acids Research 51 (8), 3501-3512, 2023 | 18 | 2023 |
| G2P: a genome-wide-association-study simulation tool for genotype simulation, phenotype simulation and power evaluation Y Tang, X Liu Bioinformatics 35 (19), 3852-3854, 2019 | 17 | 2019 |
