M
Mikael Bodén
Researcher at University of Queensland
Publications - 143
Citations - 11000
Mikael Bodén is an academic researcher from University of Queensland. The author has contributed to research in topics: Gene & Recurrent neural network. The author has an hindex of 26, co-authored 132 publications receiving 8705 citations. Previous affiliations of Mikael Bodén include University of California, San Diego & Halmstad University.
Papers
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Journal ArticleDOI
MEME Suite: tools for motif discovery and searching
Timothy L. Bailey,Mikael Bodén,Fabian A. Buske,Martin C. Frith,Charles E. Grant,Luca Clementi,Jingyuan Ren,Wilfred W. Li,William Stafford Noble +8 more
TL;DR: The popular MEME motif discovery algorithm is now complemented by the GLAM2 algorithm which allows discovery of motifs containing gaps, and all of the motif-based tools are now implemented as web services via Opal.
Journal ArticleDOI
Molecular basis for specificity of nuclear import and prediction of nuclear localization
Mary Marfori,Andrew V. Mynott,Jonathan Ellis,Ahmed M. Mehdi,Neil F. W. Saunders,Paul M. G. Curmi,Jade K. Forwood,Mikael Bodén,Bostjan Kobe,Bostjan Kobe +9 more
TL;DR: In this paper, the authors review the current understanding of the molecular determinants of the specificity of nuclear import, focusing on the importin-α•cargo recognition, as well as the currently available databases and predictive tools relevant to nuclear localization.
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NAD+ cleavage activity by animal and plant TIR domains in cell death pathways
S. Horsefield,H. Burdett,Xiaoxiao Zhang,Xiaoxiao Zhang,M.K. Manik,Yun Shi,J. Chen,J. Chen,Tiancong Qi,Jonathan Gilley,Jonathan Gilley,Jhih Siang Lai,M. Rank,Lachlan W. Casey,W. Gu,Daniel J. Ericsson,G. Foley,R.O. Hughes,Todd Bosanac,Mark von Itzstein,John P. Rathjen,Jeffrey D. Nanson,Mikael Bodén,Ian B. Dry,Simon J. Williams,Brian J. Staskawicz,Michael P. Coleman,Michael P. Coleman,Thomas Ve,Thomas Ve,Peter N. Dodds,Bostjan Kobe +31 more
TL;DR: NAD depletion as pathogen response One way that plants respond to pathogen infection is by sacrificing the infected cells, and Toll/interleukin-1 receptor (TIR) domains cleave the metabolic cofactor nicotinamide adenine dinucleotide (NAD+) as part of their cell-death signaling in response to pathogens.
A guide to recurrent neural networks and backpropagation
TL;DR: Backpropagation learning is described for feedforward networks, adapted to suit the authors' (probabilistic) modeling needs, and extended to cover recurrent networks.
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Assigning roles to DNA regulatory motifs using comparative genomics
TL;DR: A novel DNA sequence-scoring algorithm that compensates a thermodynamic measure of DNA-binding affinity for individual sequence base composition and Gomo's prediction accuracy proves to be relatively insensitive to how promoters are defined.