Open Access. Powered by Scholars. Published by Universities.®

Bioinformatics Commons

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 1 - 30 of 3685

Full-Text Articles in Bioinformatics

A Tissue Specific Transcriptomic, Proteomic And Phospho-Proteomic Atlas Of The Translational Machinery Of Arabidopsis Thaliana, Abdullah Salim May 2021

A Tissue Specific Transcriptomic, Proteomic And Phospho-Proteomic Atlas Of The Translational Machinery Of Arabidopsis Thaliana, Abdullah Salim

EURēCA: Exhibition of Undergraduate Research and Creative Achievement

Gene expression encompasses the flow of genetic information from DNA to mRNA (transcription) and from mRNA to protein (translation) along with the regulatory mechanisms underlying these processes. Omics technologies offer a powerful toolset with which to study gene expression at each of these stages. A recently published dataset integrating transcriptomic, proteomic and phospho-proteomic measurements from 30 Arabidopsis thaliana tissues provides a unique resource to explore gene expression.1 The translational machinery (the ribosome, and its initiation, elongation, and termination factors) are a core component in gene expression. Defects in translation can be lethal or lead to major developmental defects and ...


Understanding The Effect Of Adaptive Mutations On The Three-Dimensional Structure Of Rna, Justin Cook May 2021

Understanding The Effect Of Adaptive Mutations On The Three-Dimensional Structure Of Rna, Justin Cook

Undergraduate Research and Scholarship Symposium

Single-nucleotide polymorphisms (SNPs) are variations in the genome where one base pair can differ between individuals.1 SNPs occur throughout the genome and can correlate to a disease-state if they occur in a functional region of DNA.1According to the central dogma of molecular biology, any variation in the DNA sequence will have a direct effect on the RNA sequence and will potentially alter the identity or conformation of a protein product. A single RNA molecule, due to intramolecular base pairing, can acquire a plethora of 3-D conformations that are described by its structural ensemble. One SNP, rs12477830, which ...


Trunctrimmer: A First Step Towards Automating Standard Bioinformatic Analysis, Z. Gunner Lawless, Dana Dittoe, Dale R. Thompson, Steven C. Ricke May 2021

Trunctrimmer: A First Step Towards Automating Standard Bioinformatic Analysis, Z. Gunner Lawless, Dana Dittoe, Dale R. Thompson, Steven C. Ricke

Computer Science and Computer Engineering Undergraduate Honors Theses

Bioinformatic analysis is a time-consuming process for labs performing research on various microbiomes. Researchers use tools like Qiime2 to help standardize the bioinformatic analysis methods, but even large, extensible platforms like Qiime2 have drawbacks due to the attention required by researchers. In this project, we propose to automate additional standard lab bioinformatic procedures by eliminating the existing manual process of determining the trim and truncate locations for paired end 2 sequences. We introduce a new Qiime2 plugin called TruncTrimmer to automate the process that usually requires the researcher to make a decision on where to trim and truncate manually after ...


Investigating The Relationship Between Power Plant Type And Regional Climate, Christian Cline '23, Sarah Wheeler '23, Sanjana Nekkanti '23 Apr 2021

Investigating The Relationship Between Power Plant Type And Regional Climate, Christian Cline '23, Sarah Wheeler '23, Sanjana Nekkanti '23

Student Leadership Exchange (SLX)

Climate change (UNSDG Goal 13) is one of the most pressing issues of our lifetime. Though recent years have given the world hope for the Earth’s future, we still rely on fossil fuels to produce a vast majority of our energy. Power plants, the “creator” of said energy, are found around the world, everywhere from Afghanistan to Zimbabwe. However, there are multiple types of power plants each of which leave different effects on the environment. At the same time, the world has wildly different climates. The cold winters of Northern Canada could not be more different than the tropical ...


Book Review: Foundations Of Artificial Intelligence In Healthcare And Bioscience, Paul B. Freeman Od Apr 2021

Book Review: Foundations Of Artificial Intelligence In Healthcare And Bioscience, Paul B. Freeman Od

Optometric Clinical Practice

Book Review:

Catania LJ. Foundations of Artificial Intelligence in Healthcare and Bioscience. Cambridge: Academic Press; 2020, $150.00, 524 pages, Paperback ISBN:9780128244777, e-book ISBN: 9780323860055.


Keap1 Is Required For Artesunate Anticancer Activity In Non-Small-Cell Lung Cancer, Kristen S. Hill, Anthony Mcdowell Jr., J. Robert Mccorkle, Erin Schuler, Sally R. Ellingson, Rina Plattner, Jill M. Kolesar Apr 2021

Keap1 Is Required For Artesunate Anticancer Activity In Non-Small-Cell Lung Cancer, Kristen S. Hill, Anthony Mcdowell Jr., J. Robert Mccorkle, Erin Schuler, Sally R. Ellingson, Rina Plattner, Jill M. Kolesar

Pathology and Laboratory Medicine Faculty Publications

Artesunate is the most common treatment for malaria throughout the world. Artesunate has anticancer activity likely through the induction of reactive oxygen species, the same mechanism of action utilized in Plasmodium falciparum infections. Components of the kelch-like ECH-associated protein 1 (KEAP1)/nuclear factor erythroid 2-related factor 2 (NRF2) pathway, which regulates cellular response to oxidative stress, are mutated in approximately 30% of non-small-cell lung cancers (NSCLC); therefore, we tested the hypothesis that KEAP1 is required for artesunate sensitivity in NSCLC. Dose response assays identified A549 cells, which have a G333C-inactivating mutation in KEAP1, as resistant to artesunate, with an IC50 ...


B32: Identifying New G Protein Coupled Receptor Kinase 6 Substrates Among Proteins Closely Linked To Prognoses Of Liver Cancer, Rav Jericho Uy Apr 2021

B32: Identifying New G Protein Coupled Receptor Kinase 6 Substrates Among Proteins Closely Linked To Prognoses Of Liver Cancer, Rav Jericho Uy

Annual Research Symposium

No abstract provided.


Toward The Discovery Of Biological Functions Associated With The Mechanosensor Mtl1p Of Saccharomyces Cerevisiae Via Integrative Multi-Omics Analysis, Nelson Martínez-Matías, Nataliya Chorna, Sahily González-Crespo, Lilliam Villanueva, Ingrid Montes-Rodríguez, Loyda M. Melendez-Aponte, Abiel Roche-Lima, Kelvin Carrasquillo-Carrión, Ednalise Santiago-Cartagena, Brian C. Rymond, Mohan Babu, Igor Stagljar, José R. Rodríguez-Medina Apr 2021

Toward The Discovery Of Biological Functions Associated With The Mechanosensor Mtl1p Of Saccharomyces Cerevisiae Via Integrative Multi-Omics Analysis, Nelson Martínez-Matías, Nataliya Chorna, Sahily González-Crespo, Lilliam Villanueva, Ingrid Montes-Rodríguez, Loyda M. Melendez-Aponte, Abiel Roche-Lima, Kelvin Carrasquillo-Carrión, Ednalise Santiago-Cartagena, Brian C. Rymond, Mohan Babu, Igor Stagljar, José R. Rodríguez-Medina

Biology Faculty Publications

Functional analysis of the Mtl1 protein in Saccharomyces cerevisiae has revealed that this transmembrane sensor endows yeast cells with resistance to oxidative stress through a signaling mechanism called the cell wall integrity pathway (CWI). We observed upregulation of multiple heat shock proteins (HSPs), proteins associated with the formation of stress granules, and the phosphatase subunit of trehalose 6-phosphate synthase which suggests that mtl1Δ strains undergo intrinsic activation of a non-lethal heat stress response. Furthermore, quantitative global proteomic analysis conducted on TMT-labeled proteins combined with metabolome analysis revealed that mtl1Δ strains exhibit decreased levels of metabolites of carboxylic acid metabolism, decreased ...


Biological Activity And Solubility Of 5-Methoxy-1,4-Benzoquinone Having Bromoheptyl And Bromodecyl Substituents In The N-Octanol/Water System, Siti Mariyah Ulfa, Fath Dwisari, Laras Pangesti, Mohammad Farid Rahman Mar 2021

Biological Activity And Solubility Of 5-Methoxy-1,4-Benzoquinone Having Bromoheptyl And Bromodecyl Substituents In The N-Octanol/Water System, Siti Mariyah Ulfa, Fath Dwisari, Laras Pangesti, Mohammad Farid Rahman

Makara Journal of Science

The biological activity and solubility of compounds are influenced by its chemical structure. These properties can be improved by substituting alkyl, alkoxy, and/or haloalkane in the parent skeleton. In this research, the synthesis of 3-(7-bromoheptyl)-2-methyl-5-methoxy-1,4-benzoquinone (3a) and 3-(10-bromodecyl)-2-methyl-5-methoxy-1,4-benzoquinone (3b) was achieved through the decarboxylation reaction. The solubility and biological activity of 3a and 3b were compared with that of thymoquinone (TQ), which acts as an anti-inflammatory agent. Compounds 3a and 3b were successfully synthesized and analyzed using Fourier Transform Infra-Red (FTIR) and Nuclear Magnetic Resonance (NMR). The FTIR spectrum showed the increasing intensity ...


A Comparison Of Intertidal Metazoan Biodiversity Between Previously Oiled Sheared And Intact Marsh Margins And Between Multiple Salinity Zones In The Coastal Marshes Of Louisiana, Patrick M. Rayle Mar 2021

A Comparison Of Intertidal Metazoan Biodiversity Between Previously Oiled Sheared And Intact Marsh Margins And Between Multiple Salinity Zones In The Coastal Marshes Of Louisiana, Patrick M. Rayle

LSU Master's Theses

Marshes in Louisiana are under threat from numerous natural and anthropogenic sources. A consequence of these threats are sheared marsh margins, which result from the impact of storm surge on previously oiled, weakened marsh. These conditions occurred in Louisiana marshes after Hurricane Isaac in 2012 followed the Deepwater Horizon oil spill in 2010, particularly in the shorelines surrounding Bay Jimmy. The second and third chapters of this thesis focus on the differences in biodiversity between the sheared and intact marsh margins in impacted sites in Bay Jimmy. Metabarcoding methods were used to determine community composition of the sediment within marsh ...


The Mwtab Python Library For Restful Access And Enhanced Quality Control, Deposition, And Curation Of The Metabolomics Workbench Data Repository, Christian D. Powell, Hunter N. B. Moseley Mar 2021

The Mwtab Python Library For Restful Access And Enhanced Quality Control, Deposition, And Curation Of The Metabolomics Workbench Data Repository, Christian D. Powell, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

The Metabolomics Workbench (MW) is a public scientific data repository consisting of experimental data and metadata from metabolomics studies collected with mass spectroscopy (MS) and nuclear magnetic resonance (NMR) analyses. MW has been constantly evolving; updating its ‘mwTab’ text file format, adding a JavaScript Object Notation (JSON) file format, implementing a REpresentational State Transfer (REST) interface, and nearly quadrupling the number of datasets hosted on the repository within the last three years. In order to keep up with the quickly evolving state of the MW repository, the ‘mwtab’ Python library and package have been continuously updated to mirror the changes ...


Deep Active Learning For Classifying Cancer Pathology Reports, Kevin De Angeli, Shang Gao, Mohammed Alawad, Hong‑Jun Yoon, Noah Schaeferkoetter, Xiao‑Cheng Wu, Eric B. Durbin, Jennifer Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia Tourassi Mar 2021

Deep Active Learning For Classifying Cancer Pathology Reports, Kevin De Angeli, Shang Gao, Mohammed Alawad, Hong‑Jun Yoon, Noah Schaeferkoetter, Xiao‑Cheng Wu, Eric B. Durbin, Jennifer Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia Tourassi

Kentucky Cancer Registry Faculty Publications

Background: Automated text classification has many important applications in the clinical setting; however, obtaining labelled data for training machine learning and deep learning models is often difficult and expensive. Active learning techniques may mitigate this challenge by reducing the amount of labelled data required to effectively train a model. In this study, we analyze the effectiveness of 11 active learning algorithms on classifying subsite and histology from cancer pathology reports using a Convolutional Neural Network as the text classification model.

Results: We compare the performance of each active learning strategy using two differently sized datasets and two different classification tasks ...


Sociality Sculpts Similar Patterns Of Molecular Evolution In Two Independently Evolved Lineages Of Eusocial Bees, Wyatt A. Shell, Michael A. Steffen, Hannah K. Pare, Arun S. Seetharam, Andrew J. Severin, Amy L. Toth, Sandra M. Rehan Feb 2021

Sociality Sculpts Similar Patterns Of Molecular Evolution In Two Independently Evolved Lineages Of Eusocial Bees, Wyatt A. Shell, Michael A. Steffen, Hannah K. Pare, Arun S. Seetharam, Andrew J. Severin, Amy L. Toth, Sandra M. Rehan

Genome Informatics Facility Publications

While it is well known that the genome can affect social behavior, recent models posit that social lifestyles can, in turn, influence genome evolution. Here, we perform the most phylogenetically comprehensive comparative analysis of 16 bee genomes to date: incorporating two published and four new carpenter bee genomes (Apidae: Xylocopinae) for a first-ever genomic comparison with a monophyletic clade containing solitary through advanced eusocial taxa. We find that eusocial lineages have undergone more gene family expansions, feature more signatures of positive selection, and have higher counts of taxonomically restricted genes than solitary and weakly social lineages. Transcriptomic data reveal that ...


Real World Clinicopathologic Observations Of Patients With Metastatic Solid Tumors Receiving Immune Checkpoint Inhibitor Therapy: Analysis From Kentucky Cancer Registry, Aasems Jacob, Jianrong Wu, Jill M. Kolesar, Eric B. Durbin, Aju Mathew, Susanne Arnold, Aman Chauhan Feb 2021

Real World Clinicopathologic Observations Of Patients With Metastatic Solid Tumors Receiving Immune Checkpoint Inhibitor Therapy: Analysis From Kentucky Cancer Registry, Aasems Jacob, Jianrong Wu, Jill M. Kolesar, Eric B. Durbin, Aju Mathew, Susanne Arnold, Aman Chauhan

Biostatistics Faculty Publications

The state of Kentucky has the highest cancer incidence and mortality in the United States. High‐risk populations such as this are often underrepresented in clinical trials. The study aims to do a comprehensive analysis of molecular landscape of metastatic cancers among these patients with detailed evaluation of factors affecting response and outcomes to immune checkpoint inhibitor (ICI) therapy. We performed a retrospective analysis of metastatic solid tumor patients who received ICI and underwent molecular profiling at our institution.

Sixty nine patients with metastatic solid tumors who received ICI were included in the study. Prevalence of smoking and secondhand tobacco ...


The Look Ahead Trace Back Optimizer For Genomic Selection Under Transparent And Opaque Simulators, Fatemeh Amini, Felipe Restrepo Franco, Guiping Hu, Lizhi Wang Feb 2021

The Look Ahead Trace Back Optimizer For Genomic Selection Under Transparent And Opaque Simulators, Fatemeh Amini, Felipe Restrepo Franco, Guiping Hu, Lizhi Wang

Industrial and Manufacturing Systems Engineering Publications

Recent advances in genomic selection (GS) have demonstrated the importance of not only the accuracy of genomic prediction but also the intelligence of selection strategies. The look ahead selection algorithm, for example, has been found to significantly outperform the widely used truncation selection approach in terms of genetic gain, thanks to its strategy of selecting breeding parents that may not necessarily be elite themselves but have the best chance of producing elite progeny in the future. This paper presents the look ahead trace back algorithm as a new variant of the look ahead approach, which introduces several improvements to further ...


Yap And Taz Are Transcriptional Co-Activators Of Ap-1 Proteins And Stat3 During Breast Cellular Transformation [Preprint], Lizhi He, Henry E. Pratt, Fengxiang Wei, Mingshi Gao, Zhiping Weng, Kevin Struhl Feb 2021

Yap And Taz Are Transcriptional Co-Activators Of Ap-1 Proteins And Stat3 During Breast Cellular Transformation [Preprint], Lizhi He, Henry E. Pratt, Fengxiang Wei, Mingshi Gao, Zhiping Weng, Kevin Struhl

University of Massachusetts Medical School Faculty Publications

The YAP and TAZ paralogues are transcriptional co-activators recruited to target sites, primarily by TEAD proteins. Here, we show that YAP and TAZ are also recruited by JUNB and STAT3, key factors that mediate an epigenetic switch linking inflammation to cellular transformation. YAP and TAZ directly interact with JUNB and STAT3 via a WW domain important for transformation, co-occupy many target sites in vivo via AP-1 and (to a lesser extent) STAT3 sequence motifs, and stimulate transcriptional activation by AP-1 proteins. A few target sites are YAP- or TAZ-specific, and they are associated with different sequence motifs and gene classes ...


Machine Intelligence Identifies Soluble Tnfa As A Therapeutic Target For Spinal Cord Injury, J. R. Huie, A. R. Ferguson, N. Kyritsis, J. Z. Pan, K.-A. Irvine, J. L. Nielson, P. G. Schupp, M. C. Oldham, John C. Gensel, A. Lin, M. R. Segal, R. R. Ratan, J. C. Bresnahan, M. S. Beattie Feb 2021

Machine Intelligence Identifies Soluble Tnfa As A Therapeutic Target For Spinal Cord Injury, J. R. Huie, A. R. Ferguson, N. Kyritsis, J. Z. Pan, K.-A. Irvine, J. L. Nielson, P. G. Schupp, M. C. Oldham, John C. Gensel, A. Lin, M. R. Segal, R. R. Ratan, J. C. Bresnahan, M. S. Beattie

Spinal Cord and Brain Injury Research Center Faculty Publications

Traumatic spinal cord injury (SCI) produces a complex syndrome that is expressed across multiple endpoints ranging from molecular and cellular changes to functional behavioral deficits. Effective therapeutic strategies for CNS injury are therefore likely to manifest multi-factorial effects across a broad range of biological and functional outcome measures. Thus, multivariate analytic approaches are needed to capture the linkage between biological and neurobehavioral outcomes. Injury-induced neuroinflammation (NI) presents a particularly challenging therapeutic target, since NI is involved in both degeneration and repair. Here, we used big-data integration and large-scale analytics to examine a large dataset of preclinical efficacy tests combining five ...


Mining Selected Metagenomes/Metatranscriptomes For Biosynthetic Gene Clusters And Antimicrobial Resistance Genes, Ahmed Yamany Jan 2021

Mining Selected Metagenomes/Metatranscriptomes For Biosynthetic Gene Clusters And Antimicrobial Resistance Genes, Ahmed Yamany

Theses and Dissertations

Antimicrobial resistance is one of the serious global challenges in the current century. The fact that resistance genes transfer between bacteria, coupled with the fact that the world is connected through complex dynamics. Studying microbial behavior and understanding the different factors coffering microbial resistance to a broad spectrum of the available drug classes, parallel with a comprehensive analysis of the natural microbial products as the primary source of the novel antibiotics, might shed some light on solutions for this problem. Microbial environments harbor a wide range of secondary metabolites (SM) with different functional groups. SMs are not directly involved in ...


A Benchmark And An Algorithm For Detecting Germline Transposon Insertions And Measuring De Novo Transposon Insertion Frequencies, Tianxiong Yu, Xiao Huang, Shengqian Dou, Xiaolu Tang, Shiqi Luo, William E. Theurkauf, Jian Lu, Zhiping Weng Jan 2021

A Benchmark And An Algorithm For Detecting Germline Transposon Insertions And Measuring De Novo Transposon Insertion Frequencies, Tianxiong Yu, Xiao Huang, Shengqian Dou, Xiaolu Tang, Shiqi Luo, William E. Theurkauf, Jian Lu, Zhiping Weng

University of Massachusetts Medical School Faculty Publications

Transposons are genomic parasites, and their new insertions can cause instability and spur the evolution of their host genomes. Rapid accumulation of short-read whole-genome sequencing data provides a great opportunity for studying new transposon insertions and their impacts on the host genome. Although many algorithms are available for detecting transposon insertions, the task remains challenging and existing tools are not designed for identifying de novo insertions. Here, we present a new benchmark fly dataset based on PacBio long-read sequencing and a new method TEMP2 for detecting germline insertions and measuring de novo 'singleton' insertion frequencies in eukaryotic genomes. TEMP2 achieves ...


Pfred: A Computational Platform For Sirna And Antisense Oligonucleotides Design, Simone Sciabola, Hualin Xi, Dario Cruz, Qing Cao, Christine Lawrence, Tianhong Zhang, Sergio Rotstein, Jason D. Hughes, Daniel R. Caffrey, Robert V. Stanton Jan 2021

Pfred: A Computational Platform For Sirna And Antisense Oligonucleotides Design, Simone Sciabola, Hualin Xi, Dario Cruz, Qing Cao, Christine Lawrence, Tianhong Zhang, Sergio Rotstein, Jason D. Hughes, Daniel R. Caffrey, Robert V. Stanton

Open Access Publications by UMMS Authors

PFRED a software application for the design, analysis, and visualization of antisense oligonucleotides and siRNA is described. The software provides an intuitive user-interface for scientists to design a library of siRNA or antisense oligonucleotides that target a specific gene of interest. Moreover, the tool facilitates the incorporation of various design criteria that have been shown to be important for stability and potency. PFRED has been made available as an open-source project so the code can be easily modified to address the future needs of the oligonucleotide research community. A compiled version is available for downloading at https://github.com/pfred ...


Optimized Rna-Targeting Crispr/Cas13d Technology Outperforms Shrna In Identifying Functional Circrnas, Yang Zhang, Tuan M. Nguyen, Xiao-Ou Zhang, Limei Wang, Tin Phan, John G. Clohessy, Pier Paolo Pandolfi Jan 2021

Optimized Rna-Targeting Crispr/Cas13d Technology Outperforms Shrna In Identifying Functional Circrnas, Yang Zhang, Tuan M. Nguyen, Xiao-Ou Zhang, Limei Wang, Tin Phan, John G. Clohessy, Pier Paolo Pandolfi

Open Access Publications by UMMS Authors

Short hairpin RNAs (shRNAs) are used to deplete circRNAs by targeting back-splicing junction (BSJ) sites. However, frequent discrepancies exist between shRNA-mediated circRNA knockdown and the corresponding biological effect, querying their robustness. By leveraging CRISPR/Cas13d tool and optimizing the strategy for designing single-guide RNAs against circRNA BSJ sites, we markedly enhance specificity of circRNA silencing. This specificity is validated in parallel screenings by shRNA and CRISPR/Cas13d libraries. Using a CRISPR/Cas13d screening library targeting > 2500 human hepatocellular carcinoma-related circRNAs, we subsequently identify a subset of sorafenib-resistant circRNAs. Thus, CRISPR/Cas13d represents an effective approach for high-throughput study of functional ...


Differential Gene Expression Analysis Of Rodents Exposed To Long-Term Space Flight And Insights Into Physiological Effects, Jonathan Oribello Jan 2021

Differential Gene Expression Analysis Of Rodents Exposed To Long-Term Space Flight And Insights Into Physiological Effects, Jonathan Oribello

Master's Projects

Space travel presents inherent risks to human health and a better understanding of space biology is required to mitigate harm in an oncoming age of increased space travel. Omics analysis will play a central role in better understanding human health in space. In this project, differential gene expression analysis was performed on GLDS-104, an open science dataset provided by NASA’s GeneLab. GeneLab’s RNA-Seq Consensus Pipeline was implemented using Nextflow, performed on San Jose State University’s College of Science High Performance Computing Cluster, and optimized for computational resource efficiency. Comparison of the Nextflow implemention developed in this project ...


Meta-Analysis Of Natural Vs Pharmaceutical Interventions For Alzheimer's Disease, Tamara Vrublevskaya Jan 2021

Meta-Analysis Of Natural Vs Pharmaceutical Interventions For Alzheimer's Disease, Tamara Vrublevskaya

Master's Projects

The purpose of this research is to present a way to compare interventions by collecting all available drug clinical trials for a disease of interest. The assessment is done using Meta-Analysis, a method for evaluating data from several studies to arrive at a combined estimate of treatment effect. The evaluation is done in R on a given set of studies to answer the question – which Alzheimer's Disease intervention (pharmaceutical vs. natural) show better outcomes and fewer adverse effects. The research covers many types of interventions across diverse patient populations. On a small subset of papers, natural treatments showed better ...


Polya: A Tool For Adjudicating Competing Annotations Of Biological Sequences, Kaitlin Carey Jan 2021

Polya: A Tool For Adjudicating Competing Annotations Of Biological Sequences, Kaitlin Carey

Graduate Student Theses, Dissertations, & Professional Papers

Annotation of a biological sequence is usually performed by aligning that sequence to a database of known sequence elements. When that database contains elements that are highly similar to each other, the proper annotation may be ambiguous, because several entries in the database produce high-scoring alignments. Typical annotation methods work by assigning a label based on the candidate annotation with the highest alignment score; this can overstate annotation certainty, mislabel boundaries, and fails to identify large scale rearrangements or insertions within the annotated sequence. Here, I present a new software tool, PolyA, that adjudicates between competing alignment-based annotations by computing ...


Characterizing Patterns Of Genomic Variation In The Threatened Utah Prairie Dog: Implications For Conservation And Management, Rachael M. Giglio, Tonie E. Rocke, Jorge E. Osorio, Emily Latch Jan 2021

Characterizing Patterns Of Genomic Variation In The Threatened Utah Prairie Dog: Implications For Conservation And Management, Rachael M. Giglio, Tonie E. Rocke, Jorge E. Osorio, Emily Latch

Biological Sciences Faculty Articles

Utah prairie dogs (Cynomys parvidens) are federally threatened due to eradication campaigns, habitat destruction, and outbreaks of plague. Today, Utah prairie dogs exist in small, isolated populations, making them less demographically stable and more susceptible to erosion of genetic variation by genetic drift. We characterized patterns of genetic structure at neutral and putatively adaptive loci in order to evaluate the relative effects of genetic drift and local adaptation on population divergence. We sampled individuals across the Utah prairie dog species range and generated 2,955 single nucleotide polymorphisms (SNPs) using double digest restriction site associated DNA sequencing (ddRAD). Genetic diversity ...


Soda: An Open-Source Library For Visualizing Biological Sequence Annotation, Jack W. Roddy, Travis J. Wheeler Jan 2021

Soda: An Open-Source Library For Visualizing Biological Sequence Annotation, Jack W. Roddy, Travis J. Wheeler

Graduate Student Theses, Dissertations, & Professional Papers

Genome annotation is the process of identifying and labeling known genetic sequences or features within a genome. Across the various subfields within modern molecular biology, there is a common need for the visualization of such annotations. Genomic data is often visualized on web browser platforms, providing users with easy access to visualization tools without the need for installing any software or, in many cases, underlying datasets. While there exists a broad range of web-based visualization tools, there is, to my knowledge, no lightweight, modern library tailored towards the visualization of genomic data. Instead, developers charged with the task of producing ...


Biological Control And Microbial Ecology Draft Genome Sequence Data Of Glutamicibacter Sp. Fbe-19, A Bacterium Antagonistic To The Plant Pathogen Erwinia Tracheiphila, Benzhong Fu, Olakunle Olawole, Gwyn A. Beattie Jan 2021

Biological Control And Microbial Ecology Draft Genome Sequence Data Of Glutamicibacter Sp. Fbe-19, A Bacterium Antagonistic To The Plant Pathogen Erwinia Tracheiphila, Benzhong Fu, Olakunle Olawole, Gwyn A. Beattie

Plant Pathology and Microbiology Publications

Glutamicibacter sp.FBE-19 was isolated based on its strong antagonism to the cucurbit bacterial blight pathogen Erwinia tracheiphila on plates. Members of the Glutamicibacter genus can promote plant growth under saline conditions and antagonize fungi on plates via chitinolytic activity; however, their production of antibacterial compounds has not been examined. Here, we report the genome sequence of strain FBE-19. The genome is 3.85 Mbp with a G+C content of 60.1% and comprises 3,791 genes. Genes that may contribute to its antagonistic activity include genes for the secondary metabolites stenothricin, salinosporamide A, a second β-lactone compound, and ...


The Causes And Control Measures Of Extended Spectrum Beta-Lactamase Producing Enterobacteriaceae In Long-Term Care Facilities, Ismaila Olatunji Sule Jan 2021

The Causes And Control Measures Of Extended Spectrum Beta-Lactamase Producing Enterobacteriaceae In Long-Term Care Facilities, Ismaila Olatunji Sule

Walden Dissertations and Doctoral Studies

Due to extended-spectrum beta-lactamase-producing Enterobacteriaceae (ESBL-PE), infections among residents are increasing in long-term care facilities (LTCFs), resulting in high rate of morbidity and healthcare costs. ESBL-PE resists empirical antibiotics and reduces treatment options, and a designated infection control team is unavailable to prevent the prevalence of the disease. Ecological theory guided this study. A systematic review and meta-analysis were conducted to characterize the causes of ESBL-PE and evaluate the infection control strategies within LTCFs. Multiple regression analysis (MRA) was included as supplementary statistical analysis to identify relationships between LTCFs, geographical locations, infection control measures (ICMs), and ESBL-PE. A systematic search ...


Population Genetics Of A Reintroduced Fisher (Pekania Pennanti) Population In West Virginia, Caroline E. Harms Jan 2021

Population Genetics Of A Reintroduced Fisher (Pekania Pennanti) Population In West Virginia, Caroline E. Harms

Graduate Theses, Dissertations, and Problem Reports

Fishers (Pekania pennanti) were reintroduced in West Virginia in 1969 with no population wide genetic analysis ever having been conducted. Genetic analysis of reintroduced populations is vital to assess genetic diversity as an indicative of population viability. My objective was to collect fisher samples throughout West Virginia, nearby states where fisher may be migrating (PA and NY), and the New Hampshire source population to provide a full genetic interpretation of the reintroduced West Virginia population. Genetic analysis was used to measure genetic diversity, admixture or delineation of subpopulations, and effective population size. Sample location and genetic data were combined to ...


Loss-Of-Function Genomic Variants Highlight Potential Therapeutic Targets For Cardiovascular Disease, Jonas B. Nielsen, Oren Rom, Ida Surakka, Sarah E. Graham, Wei Zhou, Tanmoy Roychowdhury, Lars G. Fritsche, Sarah A. Gagliano Taliun, Carlo Sidore, Yuhao Liu, Maiken E. Gabrielsen, Anne Heidi Skogholt, Brooke Wolford, William Overton, Ying Zhao, Jin Chen, He Zhang, Whitney E. Hornsby, Akua Acheampong, Austen Grooms, Amanda Schaefer, Gregory J. M. Zajac, Luis Villacorta, Jifeng Zhang, Ben Brumpton, Mari Løset, Vivek Rai, Pia R. Lundegaard, Morten S. Olesen, Kent D. Taylor, Donna K. Arnett Dec 2020

Loss-Of-Function Genomic Variants Highlight Potential Therapeutic Targets For Cardiovascular Disease, Jonas B. Nielsen, Oren Rom, Ida Surakka, Sarah E. Graham, Wei Zhou, Tanmoy Roychowdhury, Lars G. Fritsche, Sarah A. Gagliano Taliun, Carlo Sidore, Yuhao Liu, Maiken E. Gabrielsen, Anne Heidi Skogholt, Brooke Wolford, William Overton, Ying Zhao, Jin Chen, He Zhang, Whitney E. Hornsby, Akua Acheampong, Austen Grooms, Amanda Schaefer, Gregory J. M. Zajac, Luis Villacorta, Jifeng Zhang, Ben Brumpton, Mari Løset, Vivek Rai, Pia R. Lundegaard, Morten S. Olesen, Kent D. Taylor, Donna K. Arnett

Epidemiology Faculty Publications

Pharmaceutical drugs targeting dyslipidemia and cardiovascular disease (CVD) may increase the risk of fatty liver disease and other metabolic disorders. To identify potential novel CVD drug targets without these adverse effects, we perform genome-wide analyses of participants in the HUNT Study in Norway (n = 69,479) to search for protein-altering variants with beneficial impact on quantitative blood traits related to cardiovascular disease, but without detrimental impact on liver function. We identify 76 (11 previously unreported) presumed causal protein-altering variants associated with one or more CVD- or liver-related blood traits. Nine of the variants are predicted to result in loss-of-function of ...