List of works - Henrik Nielsen

A Brief History of Protein Sorting Prediction

scientific article published on 01 June 2019

A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites

article published in 1997

An introduction to Deep learning on biological sequence data - Examples and solutions

scientific article published on 23 August 2017

An overabundance of phase 0 introns immediately after the start codon in eukaryotic genes.

scientific article

Convolutional LSTM Networks for Subcellular Localization of Proteins ⬇️

scientific article (publication date: 2015)

Cost-effective multiplexing before capture allows screening of 25 000 clinically relevant SNPs in childhood acute lymphoblastic leukemia

DeepLoc 2.1: multi-label membrane protein type prediction using protein language models

scientific article published in 2024

DeepLoc: prediction of protein subcellular localization using deep learning

scientific article published on 7 July 2017

DeepLoc: prediction of protein subcellular localization using deep learning

scientific article

Detecting sequence signals in targeting peptides using deep learning

scientific article published on 30 September 2019

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

scientific article (publication date: 1997)

Improved prediction of signal peptides: SignalP 3.0

scientific article (publication date: 16 July 2004)

Landscape of Eukaryotic Transmembrane Beta Barrel Proteins

scientific article published on 11 February 2020

LocTree3 prediction of localization

scientific article (publication date: July 2014)

Locating proteins in the cell using TargetP, SignalP and related tools

scientific article (publication date: 2007)

NetSolP: predicting protein solubility in <i>Escherichia coli</i> using language models

scientific article published in 2021

Predicting Secretory Proteins with SignalP.

scientific article published in January 2017

Predicting Subcellular Localization of Proteins by Bioinformatic Algorithms.

scientific article published on 5 January 2016

Predicting eukaryotic protein secretion without signals

scientific article published on 04 December 2018

Predicting subcellular localization of proteins based on their N-terminal amino acid sequence

scientific article (publication date: 21 July 2000)

Prediction of Human Protein Function from Post-translational Modifications and Localization Features

scientific article (publication date: June 2002)

Prediction of lipoprotein signal peptides in Gram-negative bacteria

scientific article published on August 2003

Prediction of twin-arginine signal peptides

scientific article

Protein Sorting Prediction.

scientific article published in January 2017

Signal peptides and protein localization prediction

SignalP 4.0: discriminating signal peptides from transmembrane regions

scientific article (publication date: 29 September 2011)

SignalP 5.0 improves signal peptide predictions using deep neural networks

scientific article published on 18 February 2019

List of works by Henrik Nielsen

A Brief History of Protein Sorting Prediction

A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites

An introduction to Deep learning on biological sequence data - Examples and solutions

An overabundance of phase 0 introns immediately after the start codon in eukaryotic genes.

Convolutional LSTM Networks for Subcellular Localization of Proteins ⬇️

Cost-effective multiplexing before capture allows screening of 25 000 clinically relevant SNPs in childhood acute lymphoblastic leukemia

DeepLoc 2.1: multi-label membrane protein type prediction using protein language models

DeepLoc: prediction of protein subcellular localization using deep learning

DeepLoc: prediction of protein subcellular localization using deep learning

Detecting sequence signals in targeting peptides using deep learning

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

Improved prediction of signal peptides: SignalP 3.0

Landscape of Eukaryotic Transmembrane Beta Barrel Proteins

LocTree3 prediction of localization

Locating proteins in the cell using TargetP, SignalP and related tools

NetSolP: predicting protein solubility in <i>Escherichia coli</i> using language models

Predicting Secretory Proteins with SignalP.

Predicting Subcellular Localization of Proteins by Bioinformatic Algorithms.

Predicting eukaryotic protein secretion without signals

Predicting subcellular localization of proteins based on their N-terminal amino acid sequence

Prediction of Human Protein Function from Post-translational Modifications and Localization Features

Prediction of lipoprotein signal peptides in Gram-negative bacteria

Prediction of twin-arginine signal peptides

Protein Sorting Prediction.

Signal peptides and protein localization prediction

SignalP 4.0: discriminating signal peptides from transmembrane regions

SignalP 5.0 improves signal peptide predictions using deep neural networks