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Full-Text Articles in Life Sciences
Strategic Plan For Genomic Competencies Into Undergraduate Nursing Curriculum, Myerann Royce M. Mangalino
Strategic Plan For Genomic Competencies Into Undergraduate Nursing Curriculum, Myerann Royce M. Mangalino
UNLV Theses, Dissertations, Professional Papers, and Capstones
Problem: As genomics research continues to grow in medicine and in popular culture, an educational gap in nursing is inevitable. Nurses must have a strong understanding of genetics and genomics to effectively integrate them into current practice.Objectives: The objective is to identify gaps in the current undergraduate curriculum and build threads that may be incorporated into the current curriculum to fill the identified gaps. Methods: The foundation of this project was the Essentials of Genetic and Genomic Nursing: Competencies, Curricula Guidelines, and Outcome Indicators, 2nd Edition (Consensus Panel on Genetic/Genomic Nursing Competencies, 2008). A strategic plan was created to increase …
Genomics, Exometabolomics, And Metabolic Probing Reveal Conserved Proteolytic Metabolism Of Thermoflexus Hugenholtzii And Three Candidate Species From China And Japan, Scott C. Thomas, Devon Payne, Kevin O. Tamadonfar, Cale O. Seymour, Jian Yu Jiao, Senthil K. Murugapiran, Dengxun Lai, Rebecca Lau, Benjamin P. Bowen, Leslie P. Silva, Katherine B. Louie, Marcel Huntemann, Alicia Clum, Alex Spunde, Manoj Pillay, Krishnaveni Palaniappan, Neha Varghese, Natalia Mikhailova, I. Min Chen, Dimitrios Stamatis, T. B.K. Reddy, Ronan O’Malley, Chris Daum, Nicole Shapiro, Natalia Ivanova, Nikos C. Kyrpides, Tanja Woyke, Emiley Eloe-Fadrosh, Trinity L. Hamilton, Paul Dijkstra, Brian P. Hedlund
Genomics, Exometabolomics, And Metabolic Probing Reveal Conserved Proteolytic Metabolism Of Thermoflexus Hugenholtzii And Three Candidate Species From China And Japan, Scott C. Thomas, Devon Payne, Kevin O. Tamadonfar, Cale O. Seymour, Jian Yu Jiao, Senthil K. Murugapiran, Dengxun Lai, Rebecca Lau, Benjamin P. Bowen, Leslie P. Silva, Katherine B. Louie, Marcel Huntemann, Alicia Clum, Alex Spunde, Manoj Pillay, Krishnaveni Palaniappan, Neha Varghese, Natalia Mikhailova, I. Min Chen, Dimitrios Stamatis, T. B.K. Reddy, Ronan O’Malley, Chris Daum, Nicole Shapiro, Natalia Ivanova, Nikos C. Kyrpides, Tanja Woyke, Emiley Eloe-Fadrosh, Trinity L. Hamilton, Paul Dijkstra, Brian P. Hedlund
Life Sciences Faculty Research
Thermoflexus hugenholtzii JAD2 , the only cultured representative of the Chloroflexota order Thermoflexales, is abundant in Great Boiling Spring (GBS), NV, United States, and close relatives inhabit geothermal systems globally. However, no defined medium exists for T. hugenholtzii JAD2 and no single carbon source is known to support its growth, leaving key knowledge gaps in its metabolism and nutritional needs. Here, we report comparative genomic analysis of the draft genome of T. hugenholtzii JAD2 and eight closely related metagenome-assembled genomes (MAGs) from geothermal sites in China, Japan, and the United States, representing “Candidatus Thermoflexus japonica,” “Candidatus Thermoflexus tengchongensis,” and “Candidatus …
Machine Learning Approaches For Fracture Risk Assessment: A Comparative Analysis Of Genomic And Phenotypic Data In 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han
Machine Learning Approaches For Fracture Risk Assessment: A Comparative Analysis Of Genomic And Phenotypic Data In 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han
Public Health Faculty Publications
The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Study (n = 5130), were analyzed. After a comprehensive genotype imputation, genetic risk score (GRS) was calculated from 1103 associated Single Nucleotide Polymorphisms for each participant. Data were normalized and split into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and logistic regression were used to develop prediction models for major osteoporotic fractures …
A Method For Improving The Accuracy And Efficiency Of Bacteriophage Genome Annotation, Alicia Salisbury, Philippos K. Tsourkas
A Method For Improving The Accuracy And Efficiency Of Bacteriophage Genome Annotation, Alicia Salisbury, Philippos K. Tsourkas
Life Sciences Faculty Research
Bacteriophages are the most numerous entities on Earth. The number of sequenced phage genomes is approximately 8000 and increasing rapidly. Sequencing of a genome is followed by annotation, where genes, start codons, and functions are putatively identified. The mainstays of phage genome annotation are auto-annotation programs such as Glimmer and GeneMark. Due to the relatively small size of phage genomes, many groups choose to manually curate auto-annotation results to increase accuracy. An additional benefit of manual curation of auto-annotated phage genomes is that the process is amenable to be performed by students, and has been shown to improve student recruitment …