Jonsson V - Search Results

1

Mitochondrial dysfunction in adult midbrain dopamine neurons triggers an early immune response.

Filograna R, Lee S, Tiklová K, Mennuni M, Jonsson V, Ringnér M, Gillberg L, Sopova E, Shupliakov O, Koolmeister C, Olson L, Perlmann T, Larsson NG. Filograna R, et al. Among authors: jonsson v. PLoS Genet. 2021 Sep 27;17(9):e1009822. doi: 10.1371/journal.pgen.1009822. eCollection 2021 Sep. PLoS Genet. 2021. PMID: 34570766 Free PMC article.

2

Tissue-specific transcriptional imprinting and heterogeneity in human innate lymphoid cells revealed by full-length single-cell RNA-sequencing.

Mazzurana L, Czarnewski P, Jonsson V, Wigge L, Ringnér M, Williams TC, Ravindran A, Björklund ÅK, Säfholm J, Nilsson G, Dahlén SE, Orre AC, Al-Ameri M, Höög C, Hedin C, Szczegielniak S, Almer S, Mjösberg J. Mazzurana L, et al. Among authors: jonsson v. Cell Res. 2021 May;31(5):554-568. doi: 10.1038/s41422-020-00445-x. Epub 2021 Jan 8. Cell Res. 2021. PMID: 33420427 Free PMC article.

3

Variability in Metagenomic Count Data and Its Influence on the Identification of Differentially Abundant Genes.

Jonsson V, Österlund T, Nerman O, Kristiansson E. Jonsson V, et al. J Comput Biol. 2017 Apr;24(4):311-326. doi: 10.1089/cmb.2016.0180. Epub 2016 Nov 28. J Comput Biol. 2017. PMID: 27892712

4

Modelling of zero-inflation improves inference of metagenomic gene count data.

Jonsson V, Österlund T, Nerman O, Kristiansson E. Jonsson V, et al. Stat Methods Med Res. 2019 Dec;28(12):3712-3728. doi: 10.1177/0962280218811354. Epub 2018 Nov 25. Stat Methods Med Res. 2019. PMID: 30474490

5

Strategies to improve usability and preserve accuracy in biological sequence databases.

Bengtsson-Palme J, Boulund F, Edström R, Feizi A, Johnning A, Jonsson VA, Karlsson FH, Pal C, Pereira MB, Rehammar A, Sanchez J, Sanli K, Thorell K. Bengtsson-Palme J, et al. Proteomics. 2016 Sep;16(18):2454-60. doi: 10.1002/pmic.201600034. Proteomics. 2016. PMID: 27528420

6

Untreated urban waste contaminates Indian river sediments with resistance genes to last resort antibiotics.

Marathe NP, Pal C, Gaikwad SS, Jonsson V, Kristiansson E, Larsson DGJ. Marathe NP, et al. Among authors: jonsson v. Water Res. 2017 Nov 1;124:388-397. doi: 10.1016/j.watres.2017.07.060. Epub 2017 Jul 25. Water Res. 2017. PMID: 28780361

7

Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics.

Jonsson V, Österlund T, Nerman O, Kristiansson E. Jonsson V, et al. BMC Genomics. 2016 Jan 25;17:78. doi: 10.1186/s12864-016-2386-y. BMC Genomics. 2016. PMID: 26810311 Free PMC article.

8

HirBin: high-resolution identification of differentially abundant functions in metagenomes.

Österlund T, Jonsson V, Kristiansson E. Österlund T, et al. Among authors: jonsson v. BMC Genomics. 2017 Apr 21;18(1):316. doi: 10.1186/s12864-017-3686-6. BMC Genomics. 2017. PMID: 28431529 Free PMC article.

9

Comparison of normalization methods for the analysis of metagenomic gene abundance data.

Pereira MB, Wallroth M, Jonsson V, Kristiansson E. Pereira MB, et al. Among authors: jonsson v. BMC Genomics. 2018 Apr 20;19(1):274. doi: 10.1186/s12864-018-4637-6. BMC Genomics. 2018. PMID: 29678163 Free PMC article.

10

What Is the Role of the Environment in the Emergence of Novel Antibiotic Resistance Genes? A Modeling Approach.

Bengtsson-Palme J, Jonsson V, Heß S. Bengtsson-Palme J, et al. Among authors: jonsson v. Environ Sci Technol. 2021 Dec 7;55(23):15734-15743. doi: 10.1021/acs.est.1c02977. Epub 2021 Nov 18. Environ Sci Technol. 2021. PMID: 34792330 Free PMC article.

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