| Optimal parameter settings for information processing in gene regulatory networks DF Chu, NR Zabet, ANW Hone BioSystems 104 (2-3), 99-108, 2011 | 234* | 2011 |
| Models of transcription factor binding: sensitivity of activation functions to model assumptions D Chu, NR Zabet, B Mitavskiy Journal of Theoretical Biology 257 (3), 419-429, 2009 | 94 | 2009 |
| DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts M Catoni, JMF Tsang, AP Greco, NR Zabet Nucleic acids research 46 (19), e114-e114, 2018 | 93 | 2018 |
| Gene expression dominance in allopolyploids: hypotheses and models S Bottani, NR Zabet, JF Wendel, RA Veitia Trends in Plant Science 23 (5), 393-402, 2018 | 89 | 2018 |
| DNA sequence properties that predict susceptibility to epiallelic switching M Catoni, J Griffiths, C Becker, NR Zabet, C Bayon, M Dapp, ... The EMBO journal 36 (5), 617-628, 2017 | 68 | 2017 |
| Homotypic clusters of transcription factor binding sites: A model system for understanding the physical mechanics of gene expression D Ezer, NR Zabet, B Adryan Computational and structural biotechnology journal 10 (17), 63-69, 2014 | 68 | 2014 |
| Chromatin architecture reorganization during neuronal cell differentiation in Drosophila genome KT Chathoth, NR Zabet Genome research 29 (4), 613-625, 2019 | 49 | 2019 |
| High-frequency recombination between members of an LTR retrotransposon family during transposition bursts DH Sanchez, H Gaubert, HG Drost, NR Zabet, J Paszkowski Nature Communications 8 (1), 1283, 2017 | 48 | 2017 |
| Characterising sex differences of autosomal DNA methylation in whole blood using the Illumina EPIC array OA Grant, Y Wang, M Kumari, NR Zabet, L Schalkwyk Clinical epigenetics 14 (1), 62, 2022 | 43 | 2022 |
| Cytosine methylation at CpCpG sites triggers accumulation of non-CpG methylation in gene bodies NR Zabet, M Catoni, F Prischi, J Paszkowski Nucleic acids research 45 (7), 3777-3784, 2017 | 31 | 2017 |
| Estimating binding properties of transcription factors from genome-wide binding profiles NR Zabet, B Adryan Nucleic acids research 43 (1), 84-94, 2015 | 30 | 2015 |
| Physical constraints determine the logic of bacterial promoter architectures D Ezer, NR Zabet, B Adryan Nucleic acids research 42 (7), 4196-4207, 2014 | 30 | 2014 |
| The effects of transcription factor competition on gene regulation NR Zabet, B Adryan Frontiers in genetics 4, 65406, 2013 | 27 | 2013 |
| A comprehensive computational model of facilitated diffusion in prokaryotes NR Zabet, B Adryan Bioinformatics 28 (11), 1517-1524, 2012 | 26 | 2012 |
| Computational models for large-scale simulations of facilitated diffusion NR Zabet, B Adryan Molecular BioSystems 8 (11), 2815-2827, 2012 | 25 | 2012 |
| A novel and versatile computational tool to model translation D Chu, N Zabet, T von der Haar Bioinformatics 28 (2), 292-293, 2012 | 24 | 2012 |
| Computational limits to binary genes NR Zabet, DF Chu Journal of the Royal Society Interface 7 (47), 945-954, 2010 | 24 | 2010 |
| The role of insulators and transcription in 3D chromatin organization of flies KT Chathoth, LA Mikheeva, G Crevel, JC Wolfe, I Hunter, S Beckett-Doyle, ... Genome research 32 (4), 682-698, 2022 | 18 | 2022 |
| An explainable artificial intelligence approach for decoding the enhancer histone modifications code and identification of novel enhancers in Drosophila JC Wolfe, LA Mikheeva, H Hagras, NR Zabet Genome Biology 22, 1-23, 2021 | 16 | 2021 |
| GRiP: a computational tool to simulate transcription factor binding in prokaryotes NR Zabet, B Adryan Bioinformatics 28 (9), 1287-1289, 2012 | 16 | 2012 |
Boris AdryanRoyal Society University Research Fellowبريد إلكتروني تم التحقق منه على cam.ac.uk
