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Transcriptome analysis of .

Applied and environmental microbiology

Harrington NE, Littler JL, Harrison F.
PMID: 34878811
Appl Environ Microbiol. 2021 Dec 08;AEM0178921. doi: 10.1128/AEM.01789-21. Epub 2021 Dec 08.

No abstract available.

Cite
Harrington NE, Littler JL, Harrison F. Transcriptome analysis of . Appl Environ Microbiol. 2021;AEM0178921doi: 10.1128/AEM.01789-21.
Harrington, N. E., Littler, J. L., & Harrison, F. (2021). Transcriptome analysis of . Applied and environmental microbiology, AEM0178921. https://doi.org/10.1128/AEM.01789-21
Harrington, Niamh E, et al. "Transcriptome analysis of ." Applied and environmental microbiology vol. (2021): AEM0178921. doi: https://doi.org/10.1128/AEM.01789-21
Harrington NE, Littler JL, Harrison F. Transcriptome analysis of . Appl Environ Microbiol. 2021 Dec 08;AEM0178921. doi: 10.1128/AEM.01789-21. Epub 2021 Dec 08. PMID: 34878811.
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Building a better biofilm - Formation of .

Biofilm

Harrington NE, Sweeney E, Harrison F.
PMID: 33381751
Biofilm. 2020 Dec;2:100024. doi: 10.1016/j.bioflm.2020.100024.

No abstract available.

Cite
Harrington NE, Sweeney E, Harrison F. Building a better biofilm - Formation of . Biofilm. 2020;2:100024doi: 10.1016/j.bioflm.2020.100024.
Harrington, N. E., Sweeney, E., & Harrison, F. (2020). Building a better biofilm - Formation of . Biofilm, 2100024. https://doi.org/10.1016/j.bioflm.2020.100024
Harrington, Niamh E, et al. "Building a better biofilm - Formation of ." Biofilm vol. 2 (2020): 100024. doi: https://doi.org/10.1016/j.bioflm.2020.100024
Harrington NE, Sweeney E, Harrison F. Building a better biofilm - Formation of . Biofilm. 2020 Dec;2:100024. doi: 10.1016/j.bioflm.2020.100024. PMID: 33381751; PMCID: PMC7762787.
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Predicting Antibiotic-Associated Virulence of .

Frontiers in microbiology

Hassan MM, Harrington NE, Sweeney E, Harrison F.
PMID: 32983077
Front Microbiol. 2020 Sep 02;11:568510. doi: 10.3389/fmicb.2020.568510. eCollection 2020.

BACKGROUND: Bacterial biofilms are known to have high antibiotic tolerance which directly affects clearance of bacterial infections in people with cystic fibrosis (CF). Current antibiotic susceptibility testing methods are either based on planktonic cells or do not reflect the...

Cite
Hassan MM, Harrington NE, Sweeney E, et al. Predicting Antibiotic-Associated Virulence of . Front Microbiol. 2020;11:568510doi: 10.3389/fmicb.2020.568510.
Hassan, M. M., Harrington, N. E., Sweeney, E., & Harrison, F. (2020). Predicting Antibiotic-Associated Virulence of . Frontiers in microbiology, 11568510. https://doi.org/10.3389/fmicb.2020.568510
Hassan, Marwa M, et al. "Predicting Antibiotic-Associated Virulence of ." Frontiers in microbiology vol. 11 (2020): 568510. doi: https://doi.org/10.3389/fmicb.2020.568510
Hassan MM, Harrington NE, Sweeney E, Harrison F. Predicting Antibiotic-Associated Virulence of . Front Microbiol. 2020 Sep 02;11:568510. doi: 10.3389/fmicb.2020.568510. eCollection 2020. PMID: 32983077; PMCID: PMC7492588.
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