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Søren Brunak

Researcher at University of Copenhagen

Publications -  504
Citations -  114699

Søren Brunak is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Gene & Medicine. The author has an hindex of 102, co-authored 468 publications receiving 100580 citations. Previous affiliations of Søren Brunak include Foundation Center & Panum Institute.

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SignalP 4.0: discriminating signal peptides from transmembrane regions

TL;DR: SignalP 4.0 was the best signal-peptide predictor for all three organism types but was not in all cases as good as SignalP 3.0 according to cleavage-site sensitivity or signal- peptide correlation when there are no transmembrane proteins present.
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Improved Prediction of Signal Peptides: SignalP 3.0

TL;DR: Improvements of the currently most popular method for prediction of classically secreted proteins, SignalP, which consists of two different predictors based on neural network and hidden Markov model algorithms, where both components have been updated.
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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.