Österlund T - Search Results

1

ECOdrug: a database connecting drugs and conservation of their targets across species.

Verbruggen B, Gunnarsson L, Kristiansson E, Österlund T, Owen SF, Snape JR, Tyler CR. Verbruggen B, et al. Among authors: osterlund t. Nucleic Acids Res. 2018 Jan 4;46(D1):D930-D936. doi: 10.1093/nar/gkx1024. Nucleic Acids Res. 2018. PMID: 29140522 Free PMC article.

2

A novel method for cross-species gene expression analysis.

Kristiansson E, Österlund T, Gunnarsson L, Arne G, Larsson DG, Nerman O. Kristiansson E, et al. Among authors: osterlund t. BMC Bioinformatics. 2013 Feb 27;14:70. doi: 10.1186/1471-2105-14-70. BMC Bioinformatics. 2013. PMID: 23444967 Free PMC article.

3

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

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

4

Pharmacology beyond the patient - The environmental risks of human drugs.

Gunnarsson L, Snape JR, Verbruggen B, Owen SF, Kristiansson E, Margiotta-Casaluci L, Österlund T, Hutchinson K, Leverett D, Marks B, Tyler CR. Gunnarsson L, et al. Among authors: osterlund t. Environ Int. 2019 Aug;129:320-332. doi: 10.1016/j.envint.2019.04.075. Epub 2019 May 28. Environ Int. 2019. PMID: 31150974 Free article.

5

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. Among authors: osterlund t. BMC Genomics. 2016 Jan 25;17:78. doi: 10.1186/s12864-016-2386-y. BMC Genomics. 2016. PMID: 26810311 Free PMC article.

6

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. Among authors: osterlund t. 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

7

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

Jonsson V, Österlund T, Nerman O, Kristiansson E. Jonsson V, et al. Among authors: osterlund t. 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

8

Comparison of four DNA extraction methods for comprehensive assessment of 16S rRNA bacterial diversity in marine biofilms using high-throughput sequencing.

Corcoll N, Österlund T, Sinclair L, Eiler A, Kristiansson E, Backhaus T, Eriksson KM. Corcoll N, et al. Among authors: osterlund t. FEMS Microbiol Lett. 2017 Aug 1;364(14). doi: 10.1093/femsle/fnx139. FEMS Microbiol Lett. 2017. PMID: 28673033

9

Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data.

Berglund F, Marathe NP, Österlund T, Bengtsson-Palme J, Kotsakis S, Flach CF, Larsson DGJ, Kristiansson E. Berglund F, et al. Among authors: osterlund t. Microbiome. 2017 Oct 12;5(1):134. doi: 10.1186/s40168-017-0353-8. Microbiome. 2017. PMID: 29020980 Free PMC article.

10

A comprehensive survey of integron-associated genes present in metagenomes.

Buongermino Pereira M, Österlund T, Eriksson KM, Backhaus T, Axelson-Fisk M, Kristiansson E. Buongermino Pereira M, et al. Among authors: osterlund t. BMC Genomics. 2020 Jul 20;21(1):495. doi: 10.1186/s12864-020-06830-5. BMC Genomics. 2020. PMID: 32689930 Free PMC article.

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