Henrik Nielsen

Technical University of Denmark CWIS ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Venues

Nucleic acids research

NAR genomics and bioinformatics

Nature biotechnology

The protein journal

Technical University of Denmark Center for Biological Sequence Analysis

University of Copenhagen (MSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Technical University of Denmark Center for Biological Sequence Analysis Oct 01 2006

Denmark

Associate Professor :: Department of Bio and Health Informatics

Education History

University of Copenhagen Sep 01 1983 - Oct 27 1993

Denmark

MSC

Publications

Alfred Ferrer Florensa, Jose Juan Almagro Armenteros, Henrik Nielsen, Frank Møller Aarestrup, Philip Thomas Lanken Conradsen Clausen
SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects. NAR genomics and bioinformatics 6 (3) (2024)
Marius Thrane Ødum, Felix Teufel, Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Ole Winther, Henrik Nielsen
DeepLoc 2.1: multi-label membrane protein type prediction using protein language models. Nucleic acids research 52 (W1) (2024)
Alfred Ferrer Florensa, Jose Juan Almagro Armenteros, Henrik Nielsen, Frank Møller Aarestrup, Philip Thomas Lanken Conradsen Clausen
SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects. NAR genomics and bioinformatics 6 (3) (2024)
Marius Thrane Ødum, Felix Teufel, Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Ole Winther, Henrik Nielsen
DeepLoc 2.1: multi-label membrane protein type prediction using protein language models. Nucleic acids research 52 (W1) (2024)
Marius Thrane Ødum, Felix Teufel, Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Ole Winther, Henrik Nielsen
DeepLoc 2.1: multi-label membrane protein type prediction using protein language models. Nucleic acids research (2024)
Felix G Teufel, Magnús Halldór Gíslason, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Ole Winther, Henrik Nielsen
GraphPart: homology partitioning for biological sequence analysis. NAR genomics and bioinformatics 5 (4) (2023)
Magnus Haraldson Høie, Erik Nicolas Kiehl, Bent Petersen, Morten Nielsen, Ole Winther, Henrik Nielsen, Jeppe Hallgren, Paolo Marcatili
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning. Nucleic acids research (2022)
Vineet Thumuluri, Hannah-Marie Martiny, Jose Juan Almagro Armenteros, Jesper Salomon, Henrik Nielsen, Alexander Rosenberg Johansen
NetSolP: predicting protein solubility in Escherichia coli using language models. Bioinformatics (Oxford, England) 38 (4) (2022)
Felix G Teufel, Jose Juan Almagro Armenteros, Alexander Rosenberg Johansen, Magnús Halldór Gíslason, Silas Irby Pihl, Konstantinos D Tsirigos, Ole Winther, Soren Brunak, Gunnar von Heijne, Henrik Nielsen
SignalP 6.0 predicts all five types of signal peptides using protein language models. Nature biotechnology 40 (7) (2022)
Vineet Thumuluri, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Henrik Nielsen, Ole Winther
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models. Nucleic acids research (2022)
Henrik Nielsen, Konstantinos D Tsirigos, Søren Brunak, Gunnar von Heijne
A Brief History of Protein Sorting Prediction. The protein journal 38 (3) (2020)
Jose Juan Almagro Armenteros, Marco Salvatore, Olof Emanuelsson, Ole Winther, Gunnar von Heijne, Arne Elofsson, Henrik Nielsen
Detecting sequence signals in targeting peptides using deep learning. Life science alliance 2 (5) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Henrik Nielsen