- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 81 to 90 of 719 (0.063 seconds)Spelling suggestions: "subject:"bacteriology"" "subject:"bacteriologyc""
| 81 |
Colonial dissociation of saprophytic mycobacteria.Bynoe, Evan Theodore. January 1935 (has links)
No description available.
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| 82 |
The bacteriology of process cheese.Irwin, Marion Lenora. January 1928 (has links)
No description available.
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| 83 |
Observations on the influence of a sustained monocytosis upon the anitbody response in rabbits to various antigens.Girard, Kenneth F. January 1952 (has links)
No description available.
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| 84 |
A systematic study of the Genus Mycobacterium.Bynoe, Evan Theodore. January 1931 (has links)
No description available.
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| 85 |
The red discoloration of dried codfish.Kennedy, Margaret E. January 1921 (has links)
No description available.
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| 86 |
A Sporadic Outbreak in Cattle Resembling Tetanus.Conklin, Raymond Leroy. January 1923 (has links)
No description available.
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| 87 |
The microbiology of air-dried cultivated soils.McMaster, Norman Berry. January 1932 (has links)
No description available.
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| 88 |
a Study of the Physiology of Sporocytophaga Strains Isolated from Soils.Yaphe, Wilfred. January 1952 (has links)
No description available.
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| 89 |
The bactericidal and bacteriostatic effects of Laurylamine Saccharinate.Taylor, Lester John. January 1952 (has links)
No description available.
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| 90 |
Computational Strain Analysis in Microbiome Datasets with Application to Skin DiseaseVentolero, Minerva Fatimae 01 January 2022 (has links) (PDF)
Identifying bacterial strains is important not only for human health research but also for various environmental and industrial applications. The plethora of available shotgun metagenomic datasets provide an unprecedented opportunity to discover novel bacterial strains in different environmental niches. In this thesis, we evaluated the existing novel-strain-based tools and showed that their performance is still suboptimal. Due to the difficulty in distinguishing strains of similar abundance by available tools, the SMS (strains in multiple samples) tool was developed to de novo identify bacterial strains in multiple shotgun metagenomic samples. We showed that SMS distinguishes strains of similar abundance well and outperforms other novel-strain-based tools on both simulated and experimental datasets. Applying the SMS tool to the Atopic Dermatitis (AD) samples, we discovered novel strains of Staphylococcus aureus and Staphylococcus epidermidis, and diversity that could not be observed when the analysis was based on current known strain databases. Compared with the previously identified known strains in the same samples, the predicted novel strains showed a better likelihood of being present in the samples than the known strains. Annotation and functional pathway analysis of these AD-related novel strains revealed their relation to coding sequences and functional pathways that have been known to contribute to the ability that bacteria become pathogenic and carry out infection, suggesting their potential roles in AD progression.
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