Søren Brunak

SignalP 5.0 improves signal peptide predictions using deep neural networks

Enterotypes of the human gut microbiome

SignalP 4.0: discriminating signal peptides from transmembrane regions

Improved Prediction of Signal Peptides: SignalP 3.0

Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

We have developed 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...

A human gut microbial gene catalogue established by metagenomic sequencing

Richness of human gut microbiome correlates with metabolic markers

Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis

Protein phosphorylation during the cell cycle may be an all-or-none process in many instances.

Network biology concepts in complex disease comorbidities

The co-occurrence of diseases can inform the underlying network biology of shared and multifunctional genes and pathways. In addition, comorbidities help to elucidate the effect...

Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations

Abstract In this paper we describe an improved neural network method to predict T‐cell class I epitopes. A novel input representation has been developed consisting of a combinat...