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1.
Taxonomic assignment of gene sequences using hidden Markov models
by Huang, Huanhua, M.S.  Northern Arizona University. 2014: 54 pages; 1563863.
2.
Serial learning of verbal and nonverbal sequences
by Bonk, William James, Ph.D.  University of Colorado at Boulder. 2008: 228 pages; 3303837.
3.
Optimal Pulse Sequences for Magnetic Resonance Elastography
by Yasar, Temel Kaya, Ph.D.  University of Illinois at Chicago. 2014: 100 pages; 3668654.
4.
Phylogenetics and biogeography of Aichryson inferred from chloroplast DNA sequences
by O'Leary, T. Ryan, M.A.  University of Kansas. 2009: 57 pages; 1467932.
5.
Evolution and Function of Drososphila melanogaster cis-regulatory Sequences
by Hardin, Aaron, Ph.D.  University of California, Berkeley. 2013: 72 pages; 3686312.
6.
Predicting CRISPR/Cas9 Negative Selection Outcomes from sgRNA Sequences
by Stanton, TImothy, Master's  Stevens Institute of Technology. 2019: 40 pages; 27669807.
7.
Design and Implementation of Hybrid Hyperchaotic Sequences for Chaos-Based Communication Systems
by Gade, Sandeep, M.S.  California State University, Long Beach. 2017: 72 pages; 10638629.
8.
Predicting Common Ground Sequences from Prosody, Timing, Friendship, and Experience
by Horton, Brian W., Ph.D.  The Ohio State University. 2007: 213 pages; 10835920.
9.
The Paladin Suite: Multifaceted Characterization of Whole Metagenome Shotgun Sequences
by Westbrook, Anthony, M.S.  University of New Hampshire. 2017: 101 pages; 10685940.
10.
Applications of k-means and spectral clustering to hyperspectral video sequences
by Sunu, Justin, M.S.  California State University, Long Beach. 2014: 72 pages; 1526959.
12.
Combining the normal hedge algorithm with weighted trees for predicting binary sequences
by Biaggi, Andrea, M.S.  University of California, San Diego. 2010: 41 pages; 1474775.
13.
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.
14.
A cortical locus modulates vocal motor sequences in Alston's singing mouse (Scotinomys teguina)
by Okobi, Daniel Ebele, Jr., Ph.D.  New York University. 2016: 136 pages; 10025664.
17.
Computational protein design with multiple functional and structural constraints
by Humphris, Elisabeth Lyn, Ph.D.  University of California, San Francisco. 2009: 189 pages; 3390110.
18.
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Exploiting Motion Information for Video Analysis in Sequences With Moving Camera
by Arvanitidou, Marina Georgia, Eng.D.  Technische Universitaet Berlin (Germany). 2015: 184 pages; 10697774.
27.
Neuronal representations underlying probabilistic sequence discrimination
by Kiggins, Justin, Ph.D.  University of California, San Diego. 2016: 107 pages; 10238991.
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