J
Jacob Engelbrecht
Researcher at Technical University of Denmark
Publications - 20
Citations - 13833
Jacob Engelbrecht is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Consensus sequence & Promoter. The author has an hindex of 15, co-authored 20 publications receiving 13626 citations. Previous affiliations of Jacob Engelbrecht include University of Copenhagen & Novo Nordisk.
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Journal ArticleDOI
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
TL;DR: A new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence that performs significantly better than previous prediction schemes and can easily be applied on genome-wide data sets.
SHORT COMMUNICATION Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
TL;DR: In this paper, a new method for the identification of in performance compared with the weight matrix method signal peptides and their cleavage sites based on neural (Arrigo et al., 1991; Ladunga et al, 1991; Schneider and networks trained on separate sets of prokaryotic and eukaryotic sequence.
Journal ArticleDOI
A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
TL;DR: A new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequences that performs significantly better than previous prediction schemes, and can easily be applied to genome-wide data sets.
Journal ArticleDOI
Splice Site Prediction in Arabidopsis Thaliana Pre-mRNA by Combining Local and Global Sequence Information
Stefan M. Hebsgaard,Peter G. Korning,Niels Tolstrup,Jacob Engelbrecht,Pierre Rouzé,Søren Brunak +5 more
TL;DR: It is shown that the new method is able to find a donor site in the coding sequence for the jelly fish Green Fluorescent Protein, exactly at the position that was experimentally observed in A.thaliana transformants.
Journal ArticleDOI
Prediction of human mRNA donor and acceptor sites from the DNA sequence.
TL;DR: A joint prediction scheme where prediction of transition regions between introns and exons regulates a cutoff level for splice site assignment was able to predictSplice site locations with confidence levels far better than previously reported in the literature.