Viktor Tasselius
Viktor Tasselius
Sonstige NamenViktor Jonsson
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Zitiert von
Zitiert von
Untreated urban waste contaminates Indian river sediments with resistance genes to last resort antibiotics
NP Marathe, C Pal, SS Gaikwad, V Jonsson, E Kristiansson, DGJ Larsson
Water research 124, 388-397, 2017
Comparison of normalization methods for the analysis of metagenomic gene abundance data
MB Pereira, M Wallroth, V Jonsson, E Kristiansson
BMC genomics 19, 1-17, 2018
Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics
V Jonsson, T Österlund, O Nerman, E Kristiansson
BMC genomics 17 (1), 1-14, 2016
Industrial wastewater treatment plant enriches antibiotic resistance genes and alters the structure of microbial communities
J Bengtsson-Palme, M Milakovic, H Švecová, M Ganjto, V Jonsson, ...
Water research 162, 437-445, 2019
Tissue-specific transcriptional imprinting and heterogeneity in human innate lymphoid cells revealed by full-length single-cell RNA-sequencing
L Mazzurana, P Czarnewski, V Jonsson, L Wigge, M Ringnér, TC Williams, ...
Cell research 31 (5), 554-568, 2021
Strategies to improve usability and preserve accuracy in biological sequence databases
J Bengtsson‐Palme, F Boulund, R Edström, A Feizi, A Johnning, ...
Proteomics 16 (18), 2454-2460, 2016
What is the role of the environment in the emergence of novel antibiotic resistance genes? A modeling approach
J Bengtsson-Palme, V Jonsson, S Heß
Environmental science & technology 55 (23), 15734-15743, 2021
Computational and statistical considerations in the analysis of metagenomic data
F Boulund, MB Pereira, V Jonsson, E Kristiansson
Metagenomics, 81-102, 2018
Variability in metagenomic count data and its influence on the identification of differentially abundant genes
V Jonsson, T Österlund, O Nerman, E Kristiansson
Journal of Computational Biology 24 (4), 311-326, 2017
HirBin: high-resolution identification of differentially abundant functions in metagenomes
T Österlund, V Jonsson, E Kristiansson
BMC genomics 18, 1-11, 2017
Modelling of zero-inflation improves inference of metagenomic gene count data
V Jonsson, T Österlund, O Nerman, E Kristiansson
Statistical methods in medical research 28 (12), 3712-3728, 2019
Mitochondrial dysfunction in adult midbrain dopamine neurons triggers an early immune response
R Filograna, S Lee, K Tiklova, M Mennuni, V Jonsson, M Ringnér, ...
PLoS Genetics 17 (9), e1009822, 2021
Mumame: a software tool for quantifying gene-specific point-mutations in shotgun metagenomic data
S Magesh, V Jonsson, J Bengtsson-Palme
Metabarcoding and Metagenomics 3, e36236, 2019
Cross-validation of correlation networks using modular structure
M Neuman, V Jonsson, J Calatayud, M Rosvall
Applied Network Science 7 (1), 1-11, 2022
Statistical analysis and modelling of gene count data in metagenomics
V Jonsson
Sweden: Göteborg, 2017
Module-based regularization improves Gaussian graphical models when observing noisy data
M Neuman, J Calatayud, V Tasselius, M Rosvall
arXiv preprint arXiv:2303.16796, 2023
Diagnostic yield for video capsule endoscopy in gastrointestinal graft-versus-host disease: a systematic review and metaanalysis
J Varkey, V Jonsson, E Hessman, T De Lange, P Hedenström, M Oltean
Scandinavian Journal of Gastroenterology, 1-8, 2023
Quantifying point-mutations in shotgun metagenomic data
S Magesh, V Jonsson, J Bengtsson-Palme
bioRxiv, 438572, 2018
A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8+ T cell quantification can improve the prediction of …
A Rezapour, D Rydbeck, F Byvald, V Tasselius, G Danielsson, ...
OncoImmunology 12 (1), 2209473, 2023
Reply letter regarding" concerning issues in evaluating the inter-rater reliability. Comment on'risk factors for underestimation of patient pain in outpatient colonoscopy by …
J Ryhlander, G Ringström, B Lindkvist, V Tasselius, P Hedenström
Scandinavian journal of gastroenterology, 1-2, 2023
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