Life Sciences Commons^™

An Investigation Of Information Structures In Dna, Joel Mohrmann

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

The information-containing nature of the DNA molecule has been long known and observed. One technique for quantifying the relationships existing within the information contained in DNA sequences is an entity from information theory known as the average mutual information (AMI) profile. This investigation sought to use principally the AMI profile along with a few other metrics to explore the structure of the information contained in DNA sequences.

Treating DNA sequences as an information source, several computational methods were employed to model their information structure. Maximum likelihood and maximum a posteriori estimators were used to predict missing bases in DNA sequences. …

Individualized Clinical Practice Guidelines For Pressure Injury Management: Development Of An Integrated Multi-Modal Biomedical Information Resource, Kathie M. Bogie, Guo-Qiang Zhang, Steven K. Roggenkamp, Ningzhou Zeng, Jacinta Seton, Shiqiang Tao, Arielle L. Bloostein, Jiayang Sun

Institute for Biomedical Informatics Faculty Publications

Background: Pressure ulcers (PU) and deep tissue injuries (DTI), collectively known as pressure injuries are serious complications causing staggering costs and human suffering with over 200 reported risk factors from many domains. Primary pressure injury prevention seeks to prevent the first incidence, while secondary PU/DTI prevention aims to decrease chronic recurrence. Clinical practice guidelines (CPG) combine evidence-based practice and expert opinion to aid clinicians in the goal of achieving best practices for primary and secondary prevention. The correction of all risk factors can be both overwhelming and impractical to implement in clinical practice. There is a need to develop practical …

Collaborative Research: North East Cyberinfrastructure Consortium, Michael Eckardt, Vicki Nemeth, Carolyn Mattingly

University of Maine Office of Research Administration: Grant Reports

The North East Cyberinfrastructure Consortium has finished its third year of Track-2 funding. In this report we summarize our overall progress and progress for Year 3.

In 2006, we began to organize as the five North Eastern EPSCoR states (ME, NH, VT, Rl, DE) around cyberinfrastructure. The box below describes the state of cyberinfrastructure in 2008 by which time we had developed the North East Cyberinfrastructure Consortium to position ourselves for grant opportunities that would help us to address our cyber deficits.

The Track-2 collaborative proposal submitted in January 2009 was designed to address these barriers in order enable our …

Towards The Prediction Of Mutations In Genomic Sequences, Juan Carlos Martinez

FIU Electronic Theses and Dissertations

Bio-systems are inherently complex information processing systems. Furthermore, physiological complexities of biological systems limit the formation of a hypothesis in terms of behavior and the ability to test hypothesis. More importantly the identification and classification of mutation in patients are centric topics in today’s cancer research.

Next generation sequencing (NGS) technologies can provide genome-wide coverage at a single nucleotide resolution and at reasonable speed and cost. The unprecedented molecular characterization provided by NGS offers the potential for an individualized approach to treatment. These advances in cancer genomics have enabled scientists to interrogate cancer-specific genomic variants and compare them with the …

Classification Of Genomic Sequences By Latent Semantic Analysis, Samuel F. Way

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Evolutionary distance measures provide a means of identifying and organizing related organisms by comparing their genomic sequences. As such, techniques that quantify the level of similarity between DNA sequences are essential in our efforts to decipher the genetic code in which they are written.

Traditional methods for estimating the evolutionary distance separating two genomic sequences often require that the sequences first be aligned before they are compared. Unfortunately, this preliminary step imposes great computational burden, making this class of techniques impractical for applications involving a large number of sequences. Instead, we desire new methods for differentiating genomic sequences that eliminate …

An Open-Source Sandbox For Increasing The Accessibility Of Functional Programming To The Bioinformatics And Scientific Communities, Matthew Fenwick, Colbert Sesanker, Jay Vyas, Michael R. Gryk

UCHC Articles - Research

Scientists are continually faced with the need to express complex mathematical notions in code. The renaissance of functional languages such as LISP and Haskell is often credited to their ability to implement complex data operations and mathematical constructs in an expressive and natural idiom. The slow adoption of functional computing in the scientific community does not, however, reflect the congeniality of these fields. Unfortunately, the learning curve for adoption of functional programming techniques is steeper than that for more traditional languages in the scientific community, such as Python and Java, and this is partially due to the relative sparseness of …

Computational Genomic Signatures And Metagenomics, Ozkan U. Nalbantoglu

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Mathematical characterizations of biological sequences form one of the main elements of bioinformatics. In this work, a class of DNA sequence characterization, namely computational genomics signatures, which capture global features of these sequences is used to address emerging computational biology challenges. Because of the species specificity and pervasiveness of genome signatures, it is possible to use these signatures to characterize and identify a genome or a taxonomic unit using a short genome fragment from that source. However, the identification accuracy is generally poor when the sequence model and the sequence distance measure are not selected carefully. We show that the …