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 | 179 | 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 | 147 | 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, 1-14, 2016 | 137 | 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 | 136 | 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 | 120 | 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 | 53 | 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 | 30 | 2021 |
Computational and statistical considerations in the analysis of metagenomic data F Boulund, MB Pereira, V Jonsson, E Kristiansson Metagenomics, 81-102, 2018 | 25 | 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 | 21 | 2017 |
HirBin: high-resolution identification of differentially abundant functions in metagenomes T Österlund, V Jonsson, E Kristiansson BMC genomics 18, 1-11, 2017 | 17 | 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 | 14 | 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 | 10 | 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 | 7 | 2019 |
Cross-validation of correlation networks using modular structure M Neuman, V Jonsson, J Calatayud, M Rosvall Applied Network Science 7 (1), 75, 2022 | 4 | 2022 |
Statistical analysis and modelling of gene count data in metagenomics V Jonsson Sweden: Göteborg, 2017 | 3 | 2017 |
Suicide after colorectal cancer—a national population‐based study C Larsson, H de la Croix, R Grönkvist, J Park, J Rosenberg, V Tasselius, ... Colorectal disease, 2024 | 1 | 2024 |
Module-based regularization improves Gaussian graphical models when observing noisy data M Neuman, J Calatayud, V Tasselius, M Rosvall Applied Network Science 9 (1), 6, 2024 | 1 | 2024 |
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 58 (8), 945-952, 2023 | 1 | 2023 |
Quantifying point-mutations in shotgun metagenomic data S Magesh, V Jonsson, J Bengtsson-Palme bioRxiv, 438572, 2018 | 1 | 2018 |
Pseudomonas syringae infectivity correlates to altered transcript and metabolite levels of Arabidopsis mediator mutants J Blomberg, V Tasselius, A Vergara, F Karamat, QM Imran, Å Strand, ... Scientific Reports 14 (1), 6771, 2024 | | 2024 |