Follow
Viktor Jonsson
Viktor Jonsson
Verified email at umu.se
Title
Cited by
Cited by
Year
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
1372017
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
1222016
Comparison of normalization methods for the analysis of metagenomic gene abundance data
MB Pereira, M Wallroth, V Jonsson, E Kristiansson
BMC genomics 19 (1), 1-17, 2018
962018
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
762019
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
692021
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
492016
Magnetic phase diagram of K2Cr8O16 clarified by high-pressure muon spin spectroscopy
OK Forslund, D Andreica, Y Sassa, H Nozaki, I Umegaki, E Nocerino, ...
Scientific reports 9 (1), 1-10, 2019
202019
Computational and statistical considerations in the analysis of metagenomic data
F Boulund, MB Pereira, V Jonsson, E Kristiansson
Metagenomics, 81-102, 2018
192018
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
162017
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
132019
HirBin: high-resolution identification of differentially abundant functions in metagenomes
T Österlund, V Jonsson, E Kristiansson
BMC genomics 18 (1), 1-11, 2017
132017
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
102021
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
52019
Quantifying point-mutations in metagenomic data. bioRxiv, 438572 (2018). doi: 10.1101/438572
S Magesh, V Jonsson, J Bengtsson-Palme
Link, 0
5
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
42021
Statistical analysis and modelling of gene count data in metagenomics
V Jonsson
Sweden: Göteborg, 2017
32017
Quantifying point-mutations in shotgun metagenomic data
S Magesh, V Jonsson, J Bengtsson-Palme
bioRxiv, 438572, 2018
12018
Cross-validation of correlation networks using modular structure
M Neuman, V Jonsson, J Calatayud, M Rosvall
Applied Network Science 7 (1), 1-11, 2022
2022
Statistical analysis and modelling of gene count data in metagenomics
J Viktor
2017
A hierarchical Bayesian model for gene ranking in in metagenomics based on differential abundance
V Jonsson
9th European Conference on Mathematical and Theoretical Biology, 2014
2014
The system can't perform the operation now. Try again later.
Articles 1–20