| MEME Suite: tools for motif discovery and searching TL Bailey, M Boden, FA Buske, M Frith, CE Grant, L Clementi, J Ren, ... Nucleic acids research 37 (suppl_2), W202-W208, 2009 | 9590 | 2009 |
| Molecular basis for specificity of nuclear import and prediction of nuclear localization M Marfori, A Mynott, JJ Ellis, AM Mehdi, NFW Saunders, PM Curmi, ... Biochimica et Biophysica Acta (BBA)-Molecular Cell Research 1813 (9), 1562-1577, 2011 | 495 | 2011 |
| NAD+ cleavage activity by animal and plant TIR domains in cell death pathways S Horsefield, H Burdett, X Zhang, MK Manik, Y Shi, J Chen, T Qi, J Gilley, ... Science 365 (6455), 793-799, 2019 | 419 | 2019 |
| A guide to recurrent neural networks and backpropagation M Boden the Dallas project 2 (2), 1-10, 2002 | 384 | 2002 |
| Assigning roles to DNA regulatory motifs using comparative genomics FA Buske, M Bodén, DC Bauer, TL Bailey Bioinformatics 26 (7), 860-866, 2010 | 210 | 2010 |
| Prediction of subcellular localization using sequence-biased recurrent networks M Bodén, J Hawkins Bioinformatics 21 (10), 2279-2286, 2005 | 153 | 2005 |
| The value of position-specific priors in motif discovery using MEME TL Bailey, M Bodén, T Whitington, P Machanick BMC bioinformatics 11, 1-14, 2010 | 143 | 2010 |
| Engineering highly functional thermostable proteins using ancestral sequence reconstruction Y Gumulya, JM Baek, SJ Wun, RES Thomson, KL Harris, DJB Hunter, ... Nature Catalysis 1 (11), 878-888, 2018 | 138 | 2018 |
| The GMC superfamily of oxidoreductases revisited: analysis and evolution of fungal GMC oxidoreductases L Sützl, G Foley, EMJ Gillam, M Bodén, D Haltrich Biotechnology for Biofuels 12, 1-18, 2019 | 113 | 2019 |
| Context-free and context-sensitive dynamics in recurrent neural networks M Bodén, J Wiles Connection Science 12 (3-4), 197-210, 2000 | 86 | 2000 |
| NLSdb—major update for database of nuclear localization signals and nuclear export signals M Bernhofer, T Goldberg, S Wolf, M Ahmed, J Zaugg, M Boden, B Rost Nucleic acids research 46 (D1), D503-D508, 2018 | 80 | 2018 |
| PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity P Oyarzún, JJ Ellis, M Bodén, B Kobe BMC bioinformatics 14, 1-11, 2013 | 79 | 2013 |
| Detecting and sorting targeting peptides with neural networks and support vector machines J Hawkins, M Bodén Journal of Bioinformatics and Computational Biology 4 (01), 1-18, 2006 | 77 | 2006 |
| Crystal structure of rice importin-α and structural basis of its interaction with plant-specific nuclear localization signals CW Chang, RLM Couñago, SJ Williams, M Bodén, B Kobe The Plant Cell 24 (12), 5074-5088, 2012 | 72 | 2012 |
| The applicability of recurrent neural networks for biological sequence analysis J Hawkins, M Bodén IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (3), 243-253, 2005 | 69 | 2005 |
| Inferring short tandem repeat variation from paired-end short reads MD Cao, E Tasker, K Willadsen, M Imelfort, S Vishwanathan, ... Nucleic acids research 42 (3), e16-e16, 2014 | 65 | 2014 |
| A bioinformatics tool for epitope-based vaccine design that accounts for human ethnic diversity: application to emerging infectious diseases P Oyarzun, JJ Ellis, FF Gonzalez-Galarza, AR Jones, D Middleton, ... Vaccine 33 (10), 1267-1273, 2015 | 63 | 2015 |
| Predicting the solvent accessibility of transmembrane residues from protein sequence Z Yuan, F Zhang, MJ Davis, M Bodén, RD Teasdale Journal of proteome research 5 (5), 1063-1070, 2006 | 62 | 2006 |
| Distinctive conformation of minor site‐specific nuclear localization signals bound to importin‐α CW Chang, RM Couñago, SJ Williams, M Bodén, B Kobe Traffic 14 (11), 1144-1154, 2013 | 58 | 2013 |
| Structure and function of the TIR domain from the grape NLR protein RPV1 SJ Williams, L Yin, G Foley, LW Casey, MA Outram, DJ Ericsson, J Lu, ... Frontiers in plant science 7, 1850, 2016 | 54 | 2016 |
Timothy BaileyUniversity of Nevada, Reno在 unr.edu 的电子邮件经过验证
