Mikael Boden
Mikael Boden
Verified email at uq.edu.au - Homepage
Cited by
Cited by
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
The MEME suite
TL Bailey, J Johnson, CE Grant, WS Noble
Nucleic acids research 43 (W1), W39-W49, 2015
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
A guide to recurrent neural networks and backpropagation
M Boden
the Dallas project, 2002
Prediction of subcellular localization using sequence-biased recurrent networks
M Bodén, J Hawkins
Bioinformatics 21 (10), 2279-2286, 2005
The value of position-specific priors in motif discovery using MEME
TL Bailey, M Bodén, T Whitington, P Machanick
BMC bioinformatics 11 (1), 179, 2010
Assigning roles to DNA regulatory motifs using comparative genomics
FA Buske, M Bodén, DC Bauer, TL Bailey
Bioinformatics 26 (7), 860-866, 2010
Context-free and context-sensitive dynamics in recurrent neural networks
M Bodén, J Wiles
Connection Science 12 (3-4), 197-210, 2000
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
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
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
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), 1-11, 2013
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
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
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
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
Predicting nuclear localization
J Hawkins, L Davis, M Bodén
Journal of proteome research 6 (4), 1402-1409, 2007
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
Associating transcription factor-binding site motifs with target GO terms and target genes
M Boden, TL Bailey
Nucleic acids research 36 (12), 4108-4117, 2008
Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units
M Bodén, J Wiles, B Tonkes, A Blair
IET Digital Library, 1999
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