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Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data.
Front Microbiol. 2023 Nov 24;14:1217750. doi: 10.3389/fmicb.2023.1217750. eCollection 2023.
Front Microbiol. 2023.
PMID: 38075934
Free PMC article.
Transcriptomic sequencing data illuminate insecticide-induced physiological stress mechanisms in aquatic non-target invertebrates.
Brasseur MV, Leese F, Schäfer RB, Schreiner VC, Mayer C.
Brasseur MV, et al.
Environ Pollut. 2023 Oct 15;335:122306. doi: 10.1016/j.envpol.2023.122306. Epub 2023 Aug 2.
Environ Pollut. 2023.
PMID: 37541380
Free article.
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Impacts of multiple anthropogenic stressors on the transcriptional response of Gammarus fossarum in a mesocosm field experiment.
Brasseur MV, Beermann AJ, Elbrecht V, Grabner D, Peinert-Voss B, Salis R, Weiss M, Mayer C, Leese F.
Brasseur MV, et al.
BMC Genomics. 2022 Dec 8;23(1):816. doi: 10.1186/s12864-022-09050-1.
BMC Genomics. 2022.
PMID: 36482300
Free PMC article.
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