| Tet1 is critical for neuronal activity-regulated gene expression and memory extinction A Rudenko, MM Dawlaty, J Seo, AW Cheng, J Meng, T Le, KF Faull, ... Neuron 79 (6), 1109-1122, 2013 | 449 | 2013 |
| Epigenetic priming of memory updating during reconsolidation to attenuate remote fear memories J Gräff, NF Joseph, ME Horn, A Samiei, J Meng, J Seo, D Rei, AW Bero, ... Cell 156 (1), 261-276, 2014 | 365 | 2014 |
| A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package J Meng, Z Lu, H Liu, L Zhang, S Zhang, Y Chen, MK Rao, Y Huang Methods 69 (3), 274-281, 2014 | 281 | 2014 |
| m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome Y Tang, K Chen, B Song, J Ma, X Wu, Q Xu, Z Wei, J Su, G Liu, R Rong, ... Nucleic acids research 49 (D1), D134-D143, 2021 | 201 | 2021 |
| WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach K Chen, Z Wei, Q Zhang, X Wu, R Rong, Z Lu, J Su, JP de Magalhães, ... Nucleic Acids Research, 2019 | 180 | 2019 |
| Exome-based analysis for RNA epigenome sequencing data J Meng, X Cui, MK Rao, Y Chen, Y Huang Bioinformatics 29 (12), 1565-1567, 2013 | 155 | 2013 |
| Viral and cellular N6-methyladenosine and N6,2′-O-dimethyladenosine epitranscriptomes in the KSHV life cycle B Tan, H Liu, S Zhang, SR da Silva, L Zhang, J Meng, X Cui, H Yuan, ... Nature Microbiology, 2017 | 154 | 2017 |
| Stepwise feature fusion: Local guides global J Wang, Q Huang, F Tang, J Meng, J Su, S Song International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 132 | 2022 |
| lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine L Sun, H Liu, L Zhang, J Meng PLoS ONE 10 (10), 2015 | 119 | 2015 |
| Direct and efficient cellular transformation of primary rat mesenchymal precursor cells by KSHV T Jones, F Ye, R Bedolla, Y Huang, J Meng, L Qian, H Pan, F Zhou, ... The Journal of clinical investigation 122 (3), 1076-1081, 2012 | 115 | 2012 |
| MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome H Liu, H Wang, Z Wei, S Zhang, G Hua, SW Zhang, L Zhang, SJ Gao, ... Nucleic Acids Research, 2017 | 111 | 2017 |
| Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features JM Xiaodong Cui, Zhen Wei, Lin Zhang, Hui Liu, Lei Sun, Shao-Wu Zhang, Yufei ... BioMed Research International 2016, 2016 | 108 | 2016 |
| Histone deacetylase 3 associates with MeCP2 to regulate FOXO and social behavior A Nott, J Cheng, F Gao, YT Lin, E Gjoneska, T Ko, P Minhas, AV Zamudio, ... Nature Neuroscience, 2016 | 103 | 2016 |
| Early remodeling of the neocortex upon episodic memory encoding AW Bero, J Meng, S Cho, AH Shen, RG Canter, M Ericsson, LH Tsai Proceedings of the National Academy of Sciences 111 (32), 11852-11857, 2014 | 101 | 2014 |
| m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human B Song, Y Tang, K Chen, Z Wei, R Rong, Z Lu, J Su, JP De Magalhães, ... Bioinformatics 36 (11), 3528-3536, 2020 | 89 | 2020 |
| A novel algorithm for calling mRNA m 6 A peaks by modeling biological variances in MeRIP-seq data X Cui, J Meng, S Zhang, Y Chen, Y Huang Bioinformatics 32 (12), i378-i385, 2016 | 86 | 2016 |
| MeTDiff: a Novel Differential RNA Methylation Analysis for MeRIP-Seq Data X Cui, L Zhang, J Meng, M Rao, Y Chen, Y Huang IEEE/ACM Transactions on Computational Biology and Bioinformatics 99 (99), 1, 2018 | 82 | 2018 |
| RNA methylation and diseases: experimental results, databases, Web servers and computational models X Chen, YZ Sun, H Liu, L Zhang, JQ Li, J Meng Briefings in Bioinformatics, 2017 | 77 | 2017 |
| RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis K Chen, B Song, Y Tang, Z Wei, Q Xu, J Su, JP de Magalhaes, DJ Rigden, ... Nucleic acids research 49 (D1), D1396-D1404, 2021 | 71 | 2021 |
| Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications Z Song, D Huang, B Song, K Chen, Y Song, G Liu, J Su, JP Magalhães, ... Nature communications 12 (1), 4011, 2021 | 65 | 2021 |
Yufei HuangUniversity of Pittsburg Medical CenterVerified email at pitt.edu
