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Relevant bibliographies by topics / Pathogenic bacteria Identification

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Dissertations / Theses

Academic literature on the topic 'Pathogenic bacteria Identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Dissertations / Theses on the topic "Pathogenic bacteria Identification"

1

Foo, Chuen-hing, and 符傳興. "Bacteremia due to Elizabethkingia and related species." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/208519.

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Elizabethkingia spp. is a gram-negative, non-fermenting rod bacterium that is frequently implicated in hospital outbreaks. Elizabethkingia has a high rate of resistance to antibiotics and a shortage of effective parenteral antibiotics usually occurs in intensive care units. Infection includes neonatal sepsis and meningitis. Recently, a new species of Elizabethkingia, which is closely related to E. meningoseptica ATCC 13253 and E. miricola GTC862, was reported as a human pathogen in Central Africa and named E. anophelis. Our investigation involved 27 Elizabethkingia clinical isolates, which wer

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2

O'Hara, Heather Marie. "Comparison of the different spectra of some selected bacteria." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/27161.

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3

Kondacs, Laszlo. "Novel substrates for the improved detection and identification of pathogenic bacteria." Thesis, University of Sunderland, 2018. http://sure.sunderland.ac.uk/10222/.

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Many diseases are caused by pathogenic bacteria. A key example of this is sepsis, which is mostly caused by staphylococci and Gram-negative bacteria. In addition, the highly resistant ESKAPE pathogens are responsible for the majority of hospital acquired infections. In order to treat bacterial infections effectively, and to avoid promoting bacterial resistance against antibacterial drugs, the correct agents must be used, for which in turn the detection and identification of pathogenic strains is essential. This research aims to develop selective chromogenic culture media, by introducing new an

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4

Li, Kwan-hing. "Identification of bacterial pathogens by 16S ribosomal RNA gene sequencing." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B31971982.

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5

Li, Kwan-hing, and 李群卿. "Identification of bacterial pathogens by 16S ribosomal RNA gene sequencing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31971982.

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6

Yeung, Shiu-yan, and 楊兆恩. "Update and evaluation of 16SpathDB, an automated comprehensive database for identification of medically important bacteria by 16S rRNA gene sequencing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193552.

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Identification of pathogens is one of the important duties of clinical microbiology laboratory. Traditionally, phenotypic tests are used to identify the bacteria. However, due to some limitations of the phenotypic tests, the bacteria may not be identified sometimes and cannot be identified promptly. 16S rRNA gene sequencing is a rapid and accurate method to achieve this target. It is especially useful for identify rare or slow growing bacteria. However, the interpretation of the 16S rRNA gene sequencing result is one of the challenging duties to laboratory technicians and microbiologists. Apar

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7

Male, Abigail. "Identification of inhibitors of protein-protein interactions essential for virulence in pathogenic bacteria." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/369351/.

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There is a continous requirement for broad-spectrum post-exposure antibiotic therapeutics. Meeting this challenge relies on the production of compounds that successfully disrupt bacterial systems identified as both conserved and essential. Here, inhibitors of protein-protein interactions involved in the Phage shock protein response and toxin internalisation, within Burkholderia pseudomallei and Bacillus anthracis, respectively have been identified. This was achieved using a high-throughput screen that combines a bacterial reverse two-hybrid system and an intein-mediated method for the generati

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8

Kaittanis, Charalambos. "Magnetic nanosensors for multiplexed bacterial pathogenesis identification." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4610.

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Developing diagnostic modalities that utilize nanomaterials and miniaturized detectors can have an impact in point-of-care diagnostics. Diagnostic systems that (i) are sensitive, robust, and portable, (ii) allow detection in clinical samples, (iii) require minimal sample preparation yielding results quickly, and (iv) can simultaneously quantify multiple targets, would have a great potential in biomedical research and public healthcare. Bacterial infections still cause pathogenesis throughout the world (Chapter I). The emergence of multi-drug resistant strains, the potential appearance of bacte

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9

Pierce, Carrie. "High throughput mass spectrometry for microbial identification." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43741.

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Bacteria cause significant morbidity and mortality throughout the world, including deadly diseases such as tuberculosis, meningitis, cholera, and pneumonia. Timely and accurate bacterial identification is critical in areas such as clinical diagnostics, environmental monitoring, food safety, water and air quality assessment, and identification of biological threat agents. At present, there is an established need for high throughput, sensitive, selective, and rapid methods for the detection of pathogenic bacteria, as existing methods, while nominally effective, have failed to sufficiently redu

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10

Gamieldien, Junaid. "Novel genomic approaches for the identification of virulence genes and drug targets in pathogenic bacteria." Thesis, University of the Western Cape, 2001. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_4400_1185438906.

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<p>While the many completely sequenced genomes of bacterial pathogens contain all the determinants of the host-pathogen interaction, and also every possible drug target and recombinant vaccine candidate, computational tools for selecting suitable candidates for further experimental analyses are limited to date. The overall objective of my PhD project was to attempt to design reusable systems that employ the two most important features of bacterial evolution, horizontal gene transfer and adaptive mutation, for the identification of potentially novel virulence-associated factors and possible dru

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