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Oscillospira and related bacteria – From metagenomic species to metabolic features

Environmental microbiology, 2017-03, Vol.19 (3), p.835-841

2017

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Online short-term solar power forecasting

Solar energy, 2009-10, Vol.83 (10), p.1772-1783

2009

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The multifork Escherichia coli chromosome is a self-duplicating and self-segregating thermodynamic ring polymer

Genes & development, 2014-01, Vol.28 (1), p.71-84

2014

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DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

Nucleic acids research, 2022-07, Vol.50 (W1), p.W228-W234

2022

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DeepLoc: prediction of protein subcellular localization using deep learning

Bioinformatics (Oxford, England), 2017-11, Vol.33 (21), p.3387-3395

2017

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NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning

Proteins, structure, function, and bioinformatics, 2019-06, Vol.87 (6), p.520-527

2019

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SignalP 6.0 predicts all five types of signal peptides using protein language models

Nature biotechnology, 2022-07, Vol.40 (7), p.1023-1025

2022

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Hospital admission and mortality rates for non-covid diseases in Denmark during covid-19 pandemic: nationwide population based cohort study

BMJ (Online), 2021-05, p.n1135

2021

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Metagenomic species profiling using universal phylogenetic marker genes

Nature methods, 2013-12, Vol.10 (12), p.1196-1199

2013

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Risk assessment with gut microbiome and metabolite markers in NAFLD development

Science translational medicine, 2022-06, Vol.14 (648), p.eabk0855

2022

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Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows

PLoS genetics, 2018-10, Vol.14 (10), p.e1007580

2018

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Metabolic and gut microbiome changes following GLP-1 or dual GLP-1/GLP-2 receptor agonist treatment in diet-induced obese mice

Scientific reports, 2019-10, Vol.9 (1), p.15582-12, Article 15582

2019

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Parasites modulate the gut-microbiome in insects: A proof-of-concept study

PloS one, 2020-01, Vol.15 (1), p.e0227561-e0227561

2020

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Improved metagenome binning and assembly using deep variational autoencoders

Nature biotechnology, 2021-05, Vol.39 (5), p.555-560

2021

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Plasmodium cynomolgi as Cause of Malaria in Tourist to Southeast Asia, 2018

Emerging infectious diseases, 2019-10, Vol.25 (10), p.1936-1939

2019

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Perception of danger in the southern Arizona borderlands

Fennia, 2020-12, Vol.198 (1-2), p.74-90

Nielsen, Henrik

2020

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Detecting sequence signals in targeting peptides using deep learning

Life science alliance, 2019-10, Vol.2 (5), p.e201900429

2019

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Predicting Secretory Proteins with SignalP

Methods in molecular biology (Clifton, N.J.), 2017, Vol.1611, p.59

Nielsen, Henrik

2017

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Increased Short- and Long-Term Risk of Inflammatory Bowel Disease After Salmonella or Campylobacter Gastroenteritis

Gastroenterology (New York, N.Y. 1943), 2009-08, Vol.137 (2), p.495-501

2009

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MAP kinase substrate MKS1 is a regulator of plant defense responses

The EMBO journal, 2005-07, Vol.24 (14), p.2579-2589

2005

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Lessons learnt on patient safety in dentistry through a 5-year nationwide database study on iatrogenic harm

Scientific reports, 2024-05, Vol.14 (1), p.11436-11436, Article 11436

2024

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An introduction to deep learning on biological sequence data: examples and solutions

Bioinformatics (Oxford, England), 2017-11, Vol.33 (22), p.3685-3690

2017

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

Nature protocols, 2007-04, Vol.2 (4), p.953-971

2007

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The Follicular Skin Microbiome in Patients With Hidradenitis Suppurativa and Healthy Controls

JAMA dermatology (Chicago, Ill.), 2017-09, Vol.153 (9), p.897

2017

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Travelling Concepts: New Fictionality Studies

New edition., 2020

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Oscillospira and related bacteria – From metagenomic species to metabolic features

Online short-term solar power forecasting

The multifork Escherichia coli chromosome is a self-duplicating and self-segregating thermodynamic ring polymer

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

DeepLoc: prediction of protein subcellular localization using deep learning

NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning

SignalP 6.0 predicts all five types of signal peptides using protein language models

Hospital admission and mortality rates for non-covid diseases in Denmark during covid-19 pandemic: nationwide population based cohort study

Metagenomic species profiling using universal phylogenetic marker genes

Risk assessment with gut microbiome and metabolite markers in NAFLD development

Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows

Metabolic and gut microbiome changes following GLP-1 or dual GLP-1/GLP-2 receptor agonist treatment in diet-induced obese mice

Parasites modulate the gut-microbiome in insects: A proof-of-concept study

Improved metagenome binning and assembly using deep variational autoencoders

Plasmodium cynomolgi as Cause of Malaria in Tourist to Southeast Asia, 2018

Perception of danger in the southern Arizona borderlands

Detecting sequence signals in targeting peptides using deep learning

Predicting Secretory Proteins with SignalP

Increased Short- and Long-Term Risk of Inflammatory Bowel Disease After Salmonella or Campylobacter Gastroenteritis

MAP kinase substrate MKS1 is a regulator of plant defense responses

Lessons learnt on patient safety in dentistry through a 5-year nationwide database study on iatrogenic harm

An introduction to deep learning on biological sequence data: examples and solutions

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

The Follicular Skin Microbiome in Patients With Hidradenitis Suppurativa and Healthy Controls

Travelling Concepts: New Fictionality Studies

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