Search Constraints

Start Over
Filtering by: Creator Welter, Stephen C. Remove constraint Creator: Welter, Stephen C. Contributor Hendrix, David Remove constraint Contributor: Hendrix, David Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • Position-Dependent Codon Usage Bias in the Human Transcriptome

    Creator:
    Subramanian, Kaavya
    Abstract:
    All life depends on the reliable translation of RNA to protein according to complex interactions between translation machinery and RNA sequence features. While ribosomal occupancy and codon frequencies vary across coding regions, well-established metrics for computing coding potential of RNA do not capture such positional dependence. Here, we investigate position-dependent...
    Resource Type:
    Honors College Thesis
    Full Text:
    _____________________________________________________________________ Stephen Ramsey, Committee Member, representing Electrical Engineering and Computer Science

  • Machine Learning Methods for the Discovery and Analysis of MicroRNAs

    Creator:
    Bell, Jimmy D.
    Abstract:
    MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
    Resource Type:
    Masters Thesis
    Full Text:
    -7-Novel2 and fca-let-7-Novel3 (Figure 2.18a). The predicted novel miRs (Figure 2.18b-c) have