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1.
Predicting “Essential” Genes in Microbial Genomes: A Machine Learning Approach to Knowledge Discovery in Microbial Genomic Data
by Palaniappan, Krishnaveni, Ph.D.  Nova Southeastern University. 2010: 252 pages; 3428281.
4.
Production of Microbial Lipids from Lipomyces starkeyi
by Thirumal, Venkatesh M., M.S.  University of Louisiana at Lafayette. 2017: 107 pages; 10684836.
6.
Adaptive Statistical Methods for Microbiome Association Studies
by Koh, Hyunwook, Ph.D.  New York University. 2018: 118 pages; 10750033.
9.
Analysis in the Heisenberg group: Weak s-John domains and the dimensions of graphs of Hölder functions
by Maki, John Michael, Ph.D.  University of Illinois at Urbana-Champaign. 2011: 128 pages; 3496795.
11.
Molecular and stable isotope analysis of Dehalococcoides bacteria in chlorinated ethene degrading communities
by Lee, Patrick Kwan Hon, Ph.D.  University of California, Berkeley. 2007: 209 pages; 3306033.
12.
Metagenomic Analysis of Genetic Variation in Human Gut Microbial Species
by Zhu, Ana Cheng, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2015: 120 pages; 27766718.
13.
New Ionization Methods for the Analysis and Imaging of Microbial Populations and Biological Tissues by Mass Spectrometry
by Stopka, Sylwia Anna, Ph.D.  The George Washington University. 2018: 307 pages; 10686696.
15.
Efficient algorithms for large data sets of genomic sequences in microbial community analysis
by Knox, David A., M.S.  University of Colorado at Boulder. 2010: 71 pages; 1477003.
17.
The human gut microbiota: New analyses and methods on the continuum between disease and health
by Hartman, Amber Laura, Ph.D.  The Johns Hopkins University. 2009: 216 pages; 3399101.
18.
Ultrasensitive Nanophotonic Ion Sources for Mass Spectrometry Enable Microbial Single Cell Analysis
by Walker, Bennett Neave, Ph.D.  The George Washington University. 2012: 253 pages; 3523082.
19.
Development of Steady-State and Dynamic Flux Models for Broad-Scope Microbial Metabolism Analysis
by He, Lian, Ph.D.  Washington University in St. Louis. 2016: 254 pages; 10103229.
20.
Applications and extensions of pClust to big microbial proteomic data
by Lockwood, Svetlana, Ph.D.  Washington State University. 2016: 100 pages; 10139743.
22.
Who uses community-based youth shelters? An inter-group and intra-group analysis
by McClendon, Jennifer Rachel, Ph.D.  Washington University in St. Louis. 2009: 139 pages; 3369214.
23.
Multivariate analysis of proteomic data: Functional group analysis using a global test
by Fitzgerald-DeHoog, Lindsay M., M.S.  California State University, Long Beach. 2015: 135 pages; 1602759.
24.
An analysis of performance criteria of porous ceramic water filter production methods
by Scannell, Luke Weber, Ph.D.  State University of New York at Buffalo. 2016: 140 pages; 10163904.
25.
Genome-Resolved Meta-Omics Analyses of Microbial Interactions in Mining-Impacted Systems
by Kantor, Rose Simone, Ph.D.  University of California, Berkeley. 2016: 125 pages; 10251153.
26.
Characterization of salt marsh microbial and invertebrate carbon cyclers using stable isotope approaches
by Darjany, Lindsay E., M.S.  California State University, Long Beach. 2013: 98 pages; 1522624.
27.
The Effect of Edaphic and Biological Controls on Soil Microbial Carbon Use Efficiency
by Oliver, Erin E., Ph.D.  University of California, Davis. 2020: 152 pages; 28089718.
28.
Statistical Representations Of Microbial Systems
by Vazquez Baeza, Yoshiki, Ph.D.  University of California, San Diego. 2017: 217 pages; 10684635.
30.
Corrinoid Cross-Feeding in the Microbial World
by Dirks, Erica Christine, Ph.D.  University of California, Berkeley. 2014: 76 pages; 3686257.
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