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Phr: Patient Health Record, Quinn Nelson 2018 University of Nebraska at Omaha

Phr: Patient Health Record, Quinn Nelson

Theses/Capstones/Creative Projects

The rapid development of information technology systems has expanded into multiple disciplines and results in systems that are limited by initial design and implementation: the Healthcare Information Technology (HIT) space is no different. The introduction of the Electronic Health Record (EHR) system has changed the way healthcare operates. Initial designs of these systems were focused on serving the needs of insurance companies and healthcare billing departments. Research shows that the design of EHR systems negatively impact provider-patient interactions and the care they receive. This capstone project capitalizes on the collaboration efforts between UNO and UNMC – by joining a research group ...


Collaborative Heroism: An Empirical Investigation, Dana Klisanin 2018 University of Richmond

Collaborative Heroism: An Empirical Investigation, Dana Klisanin

Heroism Science: An Interdisciplinary Journal

Interactive technologies have come to define our culture, and as such, they influence and shape our modes of perception and behavior. This empirical investigation explored the public’s perception of the impact of the Internet on heroism via assessment of a sample population through a process of item generation, sampling, and principal component analysis. A robust 5-component structure emerged with consensus among participants including: 1) Collaboration expands heroic potential; 2) Internet technology expands heroic potential; 3) Heroes are motivated to protect and serve; 4) Heroes are responsive to injustice; 5) Concern for others is a required ingredient. The results extend ...


Computational Analysis Of Papionini Evolution Using Alu Insertions, Vallmer Edward Jordan II 2018 Louisiana State University and Agricultural and Mechanical College

Computational Analysis Of Papionini Evolution Using Alu Insertions, Vallmer Edward Jordan Ii

LSU Doctoral Dissertations

Alu elements are primate specific retrotransposons that have remained active throughout the course of primate evolution. As a result of this sustained mobilization. Alu elements are present in greater copy number in primate genomes than any other transposable element. An average of over one million Alu elements has been identified in every sequenced haplorrhine genome to date. These characteristics qualify Alu elements as ideal characters for studying evolutionary relationship among primates.

The increasing availability of whole genome sequencing data presents novel challenges and opportunities for comparative genomic analyses. Genomic data is now publicly available for most primate species. Such an ...


Omega: A Software Tool For The Management, Analysis, And Dissemination Of Intracellular Trafficking Data That Incorporates Motion Type Classification And Quality Control, Alessandro Rigano, Vanni Galli, Jasmine M. Clark, Lara E. Pereira, Loris Grossi, Jeremy Luban, Raffaello Giulietti, Tiziano Leidi, Eric Hunter, Mario Valle, Ivo F. Sbalzarini, Caterina Strambio-De-Castilla 2018 University of Massachusetts Medical School

Omega: A Software Tool For The Management, Analysis, And Dissemination Of Intracellular Trafficking Data That Incorporates Motion Type Classification And Quality Control, Alessandro Rigano, Vanni Galli, Jasmine M. Clark, Lara E. Pereira, Loris Grossi, Jeremy Luban, Raffaello Giulietti, Tiziano Leidi, Eric Hunter, Mario Valle, Ivo F. Sbalzarini, Caterina Strambio-De-Castilla

University of Massachusetts Medical School Faculty Publications

MOTIVATION: Particle tracking coupled with time-lapse microscopy is critical for understanding the dynamics of intracellular processes of clinical importance. Spurred on by advances in the spatiotemporal resolution of microscopy and automated computational methods, this field is increasingly amenable to multi-dimensional high-throughput data collection schemes (Snijder et al, 2012). Typically, complex particle tracking datasets generated by individual laboratories are produced with incompatible methodologies that preclude comparison to each other. There is therefore an unmet need for data management systems that facilitate data standardization, meta-analysis, and structured data dissemination. The integration of analysis, visualization, and quality control capabilities into such systems would ...


Identification And Folding Of Mirna Through Machine Learning, Xavier Pellow 2018 John Monash Science School

Identification And Folding Of Mirna Through Machine Learning, Xavier Pellow

The International Student Science Fair 2018

As of writing, there is currently no efficient way to accurately identify miRNA or predict the structure of miRNA without the usage of a lab. The purpose of this work is to provide a framework which allows for efficient identification of mature miRNA and folding of pre-miRNA using a feedforward neural network (FFNN) and probabilistic context-free grammar (PCFG) parsing, respectively. After training, the FFNN developed an accuracy of 98%. Out of all control cases using high confidence miRNA, the PCFG used returned folded structures that matched the canonical structures to an accuracy of 81%. The results of this work indicates ...


Adeno-Associated Virus Genome Population Sequencing Achieves Full Vector Genome Resolution And Reveals Human-Vector Chimeras, Phillip W. L. Tai, Jun Xie, Kaiyuen Fong, Matthew Seetin, Cheryl Heiner, Qin Su, Michael Weiand, Daniella Wilmot, Maria L. Zapp, Guangping Gao 2018 University of Massachusetts Medical School

Adeno-Associated Virus Genome Population Sequencing Achieves Full Vector Genome Resolution And Reveals Human-Vector Chimeras, Phillip W. L. Tai, Jun Xie, Kaiyuen Fong, Matthew Seetin, Cheryl Heiner, Qin Su, Michael Weiand, Daniella Wilmot, Maria L. Zapp, Guangping Gao

Open Access Articles

Recombinant adeno-associated virus (rAAV)-based gene therapy has entered a phase of clinical translation and commercialization. Despite this progress, vector integrity following production is often overlooked. Compromised vectors may negatively impact therapeutic efficacy and safety. Using single molecule, real-time (SMRT) sequencing, we can comprehensively profile packaged genomes as a single intact molecule and directly assess vector integrity without extensive preparation. We have exploited this methodology to profile all heterogeneic populations of self-complementary AAV genomes via bioinformatics pipelines and have coined this approach AAV-genome population sequencing (AAV-GPseq). The approach can reveal the relative distribution of truncated genomes versus full-length genomes in ...


Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Arshad M. Khan, Alice H. Grant, Anais Martinez, Gully APC Burns, Brendan S. Thatcher, Vishwanath T. Anekonda, Benjamin W. Thompson, Zachary S. Roberts, Daniel H. Moralejo, James E. Blevins 2018 University of Texas at El Paso

Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Arshad M. Khan, Alice H. Grant, Anais Martinez, Gully Apc Burns, Brendan S. Thatcher, Vishwanath T. Anekonda, Benjamin W. Thompson, Zachary S. Roberts, Daniel H. Moralejo, James E. Blevins

Arshad M. Khan, Ph.D.

This article, which includes novel unpublished data along with commentary and analysis,
focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined from
brain tissue to the original locations within the brain that they are derived from using digital atlas
mapping techniques. We use, as an example, the transcriptomic, proteomic and peptidomic
analyses conducted in the mammalian hypothalamus. Following a brief historical overview, we
highlight studies that have mined biochemical and molecular information from the hypothalamus
and then lay out a strategy for how these data can be linked spatially to the mapped locations in a
canonical brain atlas ...


Automating Installation Of The Integrating Biology And The Bedside (I2b2) Platform, Kavishwar B. Wagholikar, Michael Mendis, Pralav Dessai, Javier Sanz, Sindy Law, Micheal Gilson, Stephan Sanders, Mahesh Vangala, Douglas S. Bell, Shawn N. Murphy 2018 Harvard Medical School

Automating Installation Of The Integrating Biology And The Bedside (I2b2) Platform, Kavishwar B. Wagholikar, Michael Mendis, Pralav Dessai, Javier Sanz, Sindy Law, Micheal Gilson, Stephan Sanders, Mahesh Vangala, Douglas S. Bell, Shawn N. Murphy

Open Access Articles

Informatics for Integrating Biology and the Bedside (i2b2) is an open source clinical data analytics platform used at more than 150 institutions for querying patient data. An i2b2 installation (called hive) comprises several i2b2 cells that provide different functionalities. Given the complex architecture of i2b2 installation, creating a working installation of the platform is challenging for new users. This is despite the availability of extensive documentation for i2b2 and access to a large and active mailing list community of i2b2 users. To address this problem, we have created an automated installation package, called i2b2-quickstart, which automatically downloads the latest i2b2 ...


Polygenic Scores For Metabolic Traits And Related Drug Prescriptions In The Michigan Genomics Initiative, Samuel K. Handelman, Xiaomeng Du, Yanhua H. Chen, Elizabeth K. Speliotes 2018 University of Michigan-Ann Arbor

Polygenic Scores For Metabolic Traits And Related Drug Prescriptions In The Michigan Genomics Initiative, Samuel K. Handelman, Xiaomeng Du, Yanhua H. Chen, Elizabeth K. Speliotes

Biology and Medicine Through Mathematics Conference

No abstract provided.


A Systems Biology Approach For Studying Heterotopic Ossification: Proteomic Analysis Of Clinical Serum And Tissue Samples, Erin Crowgey, Jennifer Wyffels, Patrick Osborn, Thomas Wood, Laura Edsberg 2018 Daemen College

A Systems Biology Approach For Studying Heterotopic Ossification: Proteomic Analysis Of Clinical Serum And Tissue Samples, Erin Crowgey, Jennifer Wyffels, Patrick Osborn, Thomas Wood, Laura Edsberg

Faculty Articles

Heterotopic ossification (HO) refers to the abnormal formation of bone in soft tissue. Although some of the underlying processes of HO have been described, there are currently no clinical tests using validated biomarkers for predicting HO formation. As such, the diagnosis is made radiographically after HO has formed. To identify potential and novel biomarkers for HO, we used isobaric tags for relative and absolute quantitation (iTRAQ) and high-throughput antibody arrays to produce a semi-quantitative proteomics survey of serum and tissue from subjects with (HO+) and without (HO−) heterotopic ossification. The resulting data were then analyzed using a systems biology approach ...


Systematic Pan-Cancer Analysis Of Somatic Allele Frequency, Liam Spurr, Muzi Li, Nawaf Alomran, Qianqian Zhang, Paula Restrepo, Mercedeh Movassagh, Chris Trenkov, Nerissa Tunnessen, Tatiyana Apanasovich, Keith A. Crandall, Nathan Edwards, Anelia Horvath 2018 George Washington University

Systematic Pan-Cancer Analysis Of Somatic Allele Frequency, Liam Spurr, Muzi Li, Nawaf Alomran, Qianqian Zhang, Paula Restrepo, Mercedeh Movassagh, Chris Trenkov, Nerissa Tunnessen, Tatiyana Apanasovich, Keith A. Crandall, Nathan Edwards, Anelia Horvath

Open Access Articles

Imbalanced expression of somatic alleles in cancer can suggest functional and selective features, and can therefore indicate possible driving potential of the underlying genetic variants. To explore the correlation between allele frequency of somatic variants and total gene expression of their harboring gene, we used the unique data set of matched tumor and normal RNA and DNA sequencing data of 5523 distinct single nucleotide variants in 381 individuals across 10 cancer types obtained from The Cancer Genome Atlas (TCGA). We analyzed the allele frequency in the context of the variant and gene functional features and linked it with changes in ...


Discovering Rare Hematopoietic Clones Harboring Leukemia-Associated Mutations Using Error-Corrected Sequencing, Andrew Lee Young 2018 Washington University in St. Louis

Discovering Rare Hematopoietic Clones Harboring Leukemia-Associated Mutations Using Error-Corrected Sequencing, Andrew Lee Young

Arts & Sciences Electronic Theses and Dissertations

Cancer is a heterogeneous group of diseases that currently takes over half a million lives per year in the United States alone. Our understanding of cancer has improved dramatically over the last forty years, beginning with the discovery that cancer is a disease of the genome. Currently, the set of somatic mutations found in malignancy are largely known. The specific somatic mutations driving an individual’s disease can be readily assessed at clinical presentation. Additionally, the functional consequences for many of these mutations are known as well as their role in tumorigenesis. Despite this understanding, a cure for cancer remains ...


Discerning Drivers Of Cancer: Computational Approaches To Somatic Exome Sequencing Data, Runjun Kumar 2018 Washington University in St. Louis

Discerning Drivers Of Cancer: Computational Approaches To Somatic Exome Sequencing Data, Runjun Kumar

Arts & Sciences Electronic Theses and Dissertations

Paired tumor-normal sequencing of thousands of patient’s exomes has revealed millions of somatic mutations, but functional characterization and clinical decision making are stymied because biologically neutral ‘passenger’ mutations greatly outnumber pathogenic ‘driver’ mutations. Since most mutations will return negative results if tested, conventional resource-intensive experiments are reserved for mutations which are observed in multiple patients or rarer mutations found in well-established cancer genes. Most mutations are therefore never tested, diminishing the potential to discover new mechanisms of cancer development and treatment opportunities. Computational methods that reliably prioritize mutations for testing would greatly increase the translation of sequencing results to ...


Multi-Omics Portraits Of Cancer, Kuan-Lin Huang 2018 Washington University in St. Louis

Multi-Omics Portraits Of Cancer, Kuan-Lin Huang

Arts & Sciences Electronic Theses and Dissertations

Precision oncology demands accurate portrayal of a disease at all molecular levels. However, current large-scale studies of omics are often isolated by data types. I have been developing computational tools to conduct integrative analyses of omics data, identifying unique molecular etiology in each tumor. Particularly, this dissertation presents the following contributions to the computational omics of cancer: (1) uncovering the predisposition landscape in 33 cancers and how germline genome collaborates with somatic alterations in oncogenesis; (2) pioneering methods to combine genomic and proteomic data to identify treatment opportunities; and (3) revealing selective phosphorylation of kinase-substrate pairs. These findings advance our ...


Investigation Into The Amino Acid Characteristic Of Intrinsically Disordered Proteins, Samantha Patterson 2018 University of Wyoming

Investigation Into The Amino Acid Characteristic Of Intrinsically Disordered Proteins, Samantha Patterson

Honors Theses AY 17/18

Caulobacter crescentus, which belongs to the class of Alphaproteobacteria, has a highly organized cytoplasm that includes complex macromolecular structures at the cell poles. These polar complexes are assembled through the activity of a scaffolding protein, known as the Polar Organizing Protein Z (PopZ). PopZ interacts with other proteins via an N-terminal domain that is mostly intrinsically disordered, and contains, an abundance of proline, glutamte, and aspartate (P,E, and D) residues. Surprisingly, scrambling the order of amino acids in the PED region does not affect PopZ function, suggesting that binding affinity and specificity are not dependent on interactions with individual ...


Conservation And Divergence In Modules Of The Transcriptional Programs Of The Human And Mouse Immune Systems, Tal Shay, Vladimir Jojic, Broad Institute of MIT and Harvard, Harvard Medical School, Stanford University, ImmGen Consortium, Kavitha Narayan, Katelyn E. Sylvia, Joonso Kang 2018 Broad Institute of MIT and Harvard

Conservation And Divergence In Modules Of The Transcriptional Programs Of The Human And Mouse Immune Systems, Tal Shay, Vladimir Jojic, Broad Institute Of Mit And Harvard, Harvard Medical School, Stanford University, Immgen Consortium, Kavitha Narayan, Katelyn E. Sylvia, Joonso Kang

University of Massachusetts Medical School Faculty Publications

Studies in mouse have shed important light on human hematopoietic differentiation and disease. However, substantial differences between the two species often limit the translation of findings from mouse to human. Here, we compare modules of co-expressed genes in human and mouse immune cells based on compendia of genome-wide profiles. We show that the overall modular organization of the transcriptional program is conserved. We highlight modules of co-expressed genes in one species that dissolve or split in the other species. Many of the associated regulatory mechanisms - as reflected by computationally inferred trans regulators, or enriched cis-regulatory elements - are conserved between the ...


Modeling And Analyzing An Optogenetic System For Photoactivatable Protein Dissociation, Anvin Thomas, James Schaff 2018 University of Connecticut

Modeling And Analyzing An Optogenetic System For Photoactivatable Protein Dissociation, Anvin Thomas, James Schaff

Honors Scholar Theses

Computational modeling of cell-cell interactions can grant clues and can answer questions about an experiment, especially for observations about binding interactions and kinetics. This approach was used to investigate an interaction between a light-oxygen-voltage (LOV) domain and an engineered protein called Zdark (Zdk). The LOV domain is membrane-bound while Zdk is cytosolic. The LOV domain and Zdk bind strongly in dark (Kd 26.2 nM), and weakly upon exposure to blue light (Kd > 4 μM). Total internal reflection fluorescence (TIRF) images are acquired of Zdk, the fluorescent species bound to a mCherry tag, and the loss of fluorescence ...


Functional Studies Of The E. Coli Proc And A Putative Ortholog Mrub_1345, Mourin Azar, Dr. Lori Scott 2018 Augustana College, Rock Island Illinois

Functional Studies Of The E. Coli Proc And A Putative Ortholog Mrub_1345, Mourin Azar, Dr. Lori Scott

Meiothermus ruber Genome Analysis Project

This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation –Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of Escherichia coli and Meiothermus ruber proC genes using the complementation assay. In this research project, mutants of varying severity to the functional state of the protein were developed. The results showed that two or more amino acid deletions reduced or eliminated ProC function. Amino acid substitutions, on the other hand, were not severe enough to impact ProC function. Double and triple mutants ...


Changes In The Microbial Community Of Lubomirskia Baicalensis Affected By Red Sponge Disease, Colin Rorex 2018 Stephen F Austin State University

Changes In The Microbial Community Of Lubomirskia Baicalensis Affected By Red Sponge Disease, Colin Rorex

Electronic Theses and Dissertations

Lake Baikal is the oldest known lake and a unique ecosystem, home to several species of fresh water sponge. A disease outbreak affecting the dominant species, Lubormirskia baialensis, was recently reported. The cause of the disease has not been determined but one of the current hypothesis is that the increase in methane concentration is correlated to the disease outbreak. This pilot study characterized the microbiomes of sick and healthy sponges through the use of 16S rRNA sequencing. Sick sponge microbiomes shared a conserved group of taxa while the healthy sponge microbiomes had greater diversity. Indicator species analysis identified two significant ...


Region Based Gene Expression Via Reanalysis Of Publicly Available Microarray Data Sets., Ernur Saka 2018 University of Louisville

Region Based Gene Expression Via Reanalysis Of Publicly Available Microarray Data Sets., Ernur Saka

Electronic Theses and Dissertations

A DNA microarray is a high-throughput technology used to identify relative gene expression. One of the most widely used platforms is the Affymetrix® GeneChip® technology which detects gene expression levels based on probe sets composed of a set of twenty-five nucleotide probes designed to hybridize with specific gene targets. Given a particular Affymetrix® GeneChip® platform, the design of the probes is fixed. However, the method of analysis is dynamic in nature due to the ability to annotate and group probes into uniquely defined groupings. This is particularly important since publicly available repositories of microarray datasets, such as ArrayExpress and NCBI ...


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