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1.
A multiscale, geometric algorithm for non-parametric data exploration with an application to genomic data
by McQuown, Joseph, Ph.D.  State University of New York at Stony Brook. 2007: 105 pages; 3337616.
2.
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.
3.
Identification and mixture deconvolution of ancient and forensic DNA using population genomic data
by Vohr, Samuel H., Ph.D.  University of California, Santa Cruz. 2016: 125 pages; 10249290.
4.
Tools for extracting actionable medical knowledge from genomic big data
by Goldstein, Theodore C., Ph.D.  University of California, Santa Cruz. 2013: 158 pages; 3589324.
5.
Bioinformatics Approaches to Genetic Abnormality Detection in Genomic Data
by Baugher, Joseph D., Ph.D.  The Johns Hopkins University. 2012: 109 pages; 3573113.
6.
Genomic Insights: Comparative Genomics in the Big Data Age
by Haug-Baltzell, Asher K., Ph.D.  The University of Arizona. 2018: 146 pages; 10745700.
7.
Dinoflagellate genomic organization and phylogenetic marker discovery utilizing deep sequencing data
by Mendez, Gregory Scott, Ph.D.  University of Maryland, College Park. 2016: 102 pages; 10159160.
8.
Analysis of genomic rearrangements in cancer from high throughput sequencing data
by Ballinger, Tracy J., Ph.D.  University of California, Santa Cruz. 2015: 173 pages; 3729995.
9.
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.
11.
High level integration of genomic data for improving prediction, prognostication and classification of breast tumors
by Weigman, Victor John, Jr., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 173 pages; 3428408.
14.
Data Biology: A quantitative exploration of gene regulation and underlying mechanisms
by Schiller, Benjamin J., Ph.D.  University of California, San Francisco. 2013: 408 pages; 3587899.
15.
Reconstructing the invasion history of Lyme disease in North America
by Walter, Katharine Sassandra, Ph.D.  Yale University. 2017: 196 pages; 10783471.
16.
Computational approaches to study the relation between genomic variations and phenotypes
by Huang, Hailiang, Ph.D.  The Johns Hopkins University. 2012: 212 pages; 3528554.
17.
Deriving Novel Insights from Genomic Heterogeneity in Cancer
by Pique, Daniel Gonzalo, Ph.D.  Yeshiva University. 2018: 300 pages; 11014739.
18.
High-throughput genomic/proteomic studies, finding structure and meaning by similarity
by Davidson, George S., Ph.D.  The University of New Mexico. 2010: 160 pages; 3422403.
19.
Analysis of genomic translation using a communications theory approach
by Al Bataineh, Mohammad, Ph.D.  Illinois Institute of Technology. 2010: 189 pages; 3435813.
21.
Using new genomic tools to characterize patterns of genetic diversity in switchgrass
by Grabowski, Paul Patrick, Ph.D.  The University of Chicago. 2014: 111 pages; 3615648.
22.
The mechanisms responsible for the genomic recruitment of E2F1
by Cao, Alina Rabinovich, Ph.D.  University of California, Davis. 2010: 215 pages; 3427480.
23.
Genomic Alterations in Bladder Cancer Modulate Response to Therapy
by Ramirez, Ricardo, Ph.D.  Weill Medical College of Cornell University. 2017: 134 pages; 10252704.
24.
On the importance of phase in improving detection of shared genomic segments
by Genovese, Giulio, Ph.D.  Dartmouth College. 2010: 119 pages; 3404529.
26.
A genomic analysis of meiosis in Drosophila melanogaster
by Miller, Danny E., Ph.D.  University of Kansas. 2016: 245 pages; 10120107.
27.
Genomic Approaches Reveal the Interplay of Viral and Cellular Transcription During Infection
by Peralta, Zuleyma, Ph.D.  Icahn School of Medicine at Mount Sinai. 2017: 195 pages; 10639303.
28.
The genomic basis of parallel evolution in three-spined stickleback (Gasterosteus aculeatus)
by Chan, Yingguang Frank, Ph.D.  Stanford University. 2009: 194 pages; 3382966.
29.
The Laboratory as an Ecology for Action: An Ethnomethodological Study of Agents and Objects in Genomic Research
by Everhart, Donald, Ph.D.  University of California, San Diego. 2018: 336 pages; 10935218.
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