Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Genetics and Genomics (61)
- Physical Sciences and Mathematics (33)
- Medicine and Health Sciences (31)
- Genomics (29)
- Computational Biology (27)
-
- Genetics (24)
- Biology (22)
- Microbiology (20)
- Cell and Developmental Biology (19)
- Biochemistry, Biophysics, and Structural Biology (17)
- Engineering (17)
- Computer Sciences (14)
- Molecular Genetics (14)
- Ecology and Evolutionary Biology (13)
- Biomedical Engineering and Bioengineering (12)
- Biotechnology (12)
- Cancer Biology (12)
- Plant Sciences (11)
- Biodiversity (10)
- Diseases (10)
- Environmental Microbiology and Microbial Ecology (10)
- Immunology and Infectious Disease (9)
- Molecular Biology (9)
- Biochemistry (7)
- Biomedical Informatics (7)
- Integrative Biology (7)
- Medical Sciences (7)
- Neuroscience and Neurobiology (7)
- Institution
-
- Universitas Indonesia (9)
- Old Dominion University (8)
- University of Nebraska - Lincoln (8)
- Dartmouth College (7)
- University of Tennessee, Knoxville (6)
-
- Virginia Commonwealth University (6)
- Michigan Technological University (5)
- Munster Technological University (5)
- The Texas Medical Center Library (5)
- Western University (5)
- Loyola University Chicago (4)
- Southern Adventist University (4)
- University of Massachusetts Amherst (4)
- Louisiana State University (3)
- The University of Southern Mississippi (3)
- University of Texas Rio Grande Valley (3)
- West Virginia University (3)
- American University in Cairo (2)
- California State University, San Bernardino (2)
- Chapman University (2)
- City University of New York (CUNY) (2)
- Clemson University (2)
- Karbala International Journal of Modern Science (2)
- Kennesaw State University (2)
- Roseman University of Health Sciences (2)
- Rowan University (2)
- The University of Maine (2)
- University of Arkansas, Fayetteville (2)
- University of Kentucky (2)
- University of Louisville (2)
- Keyword
-
- Bioinformatics (21)
- Cancer (6)
- Genetics (6)
- Machine learning (6)
- Gene expression (5)
-
- Genomics (5)
- Molecular docking (5)
- Deep learning (4)
- Epigenetics (4)
- Metagenomics (4)
- SARS-CoV-2 (4)
- 16S (3)
- 16S rDNA (3)
- Annotation (3)
- Machine Learning (3)
- Microbiome (3)
- Phylogenetics (3)
- Biodiversity (2)
- Biomarker (2)
- Coevolution (2)
- DNA (2)
- DNA Methylation (2)
- DNA methylation (2)
- Data mining (2)
- Deep Learning (2)
- Drug repurposing (2)
- False discovery rate (2)
- Freshwater (2)
- Gene Expression (2)
- Gene prediction (2)
- Publication
-
- Dartmouth College Ph.D Dissertations (7)
- Doctoral Dissertations (7)
- Indonesian Journal of Medical Chemistry and Bioinformatics (7)
- Theses and Dissertations (7)
- Dissertations & Theses (Open Access) (5)
-
- Dissertations, Master's Theses and Master's Reports (5)
- Electronic Theses and Dissertations (5)
- Electronic Thesis and Dissertation Repository (5)
- Master's Theses (5)
- Honors Theses (4)
- ORBioM (Open Research BioSciences Meeting) (4)
- Research in Biology (4)
- Graduate Theses, Dissertations, and Problem Reports (3)
- Research Symposium (3)
- All Dissertations (2)
- Annual Research Symposium (2)
- Dissertations, Theses, and Capstone Projects (2)
- Electronic Theses, Projects, and Dissertations (2)
- Graduate Theses and Dissertations (2)
- Honors Theses and Capstones (2)
- Karbala International Journal of Modern Science (2)
- LSU Doctoral Dissertations (2)
- Makara Journal of Science (2)
- Masters Theses (2)
- Open Access Theses & Dissertations (2)
- Undergraduate Research Posters (2)
- AI Assignment Library (1)
- Al-Bahir Journal for Engineering and Pure Sciences (1)
- All HCAS Student Capstones, Theses, and Dissertations (1)
- Annual Symposium on Biomathematics and Ecology Education and Research (1)
- Publication Type
Articles 1 - 30 of 154
Full-Text Articles in Bioinformatics
Model-Based Deep Autoencoders For Clustering Single-Cell Rna Sequencing Data With Side Information, Xiang Lin
Model-Based Deep Autoencoders For Clustering Single-Cell Rna Sequencing Data With Side Information, Xiang Lin
Dissertations
Clustering analysis has been conducted extensively in single-cell RNA sequencing (scRNA-seq) studies. scRNA-seq can profile tens of thousands of genes' activities within a single cell. Thousands or tens of thousands of cells can be captured simultaneously in a typical scRNA-seq experiment. Biologists would like to cluster these cells for exploring and elucidating cell types or subtypes. Numerous methods have been designed for clustering scRNA-seq data. Yet, single-cell technologies develop so fast in the past few years that those existing methods do not catch up with these rapid changes and fail to fully fulfil their potential. For instance, besides profiling transcription …
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Journal of Nonprofit Innovation
Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.
Imagine Doris, who is …
A Computational Exploration: Docking Analysis Of Compounds From Foeniculum Vulgare As Potential Aromatase Inhibitors For Endometriosis Candidate Therapy, Dwi Anita Suryandari, Puji Sari, Hadi Sunaryo, Khaerunissa Anbar Istiadi
A Computational Exploration: Docking Analysis Of Compounds From Foeniculum Vulgare As Potential Aromatase Inhibitors For Endometriosis Candidate Therapy, Dwi Anita Suryandari, Puji Sari, Hadi Sunaryo, Khaerunissa Anbar Istiadi
Indonesian Journal of Medical Chemistry and Bioinformatics
Aromatase inhibitors (AI) have controlling symptoms and size of endometriotic implants, making them a promising second-line therapy for endometriosis treatment.pretreatment with letrozole, an AI, combined with leuprolide acetate and resveratrol has been found to improve in vitro fertilization (IVF) outcomes in women mild endometriosis.in this study we screening and analysis of ten phenolic compounds from Foeniculum vulgare using molecular docking with Mcole server.from this results showed that three phenolic trans resveratrol (TR), caempherol coumaril (CC) have low gibbs energy compare with resveratrol (R). The binding modalities of compound TR and compound R were hydrogen-bonding between the hydroxyl and oxygen atom …
Dna Methylation-Based Epigenetic Biomarkers In Cell-Type Deconvolution And Tumor Tissue Of Origin Identification, Ze Zhang
Dartmouth College Ph.D Dissertations
DNA methylation is an epigenetic modification that regulates gene expression and is essential to establishing and preserving cellular identity. Genome-wide DNA methylation arrays provide a standardized and cost-effective approach to measuring DNA methylation. When combined with a cell-type reference library, DNA methylation measures allow the assessment of underlying cell-type proportions in heterogeneous mixtures. This approach, known as DNA methylation deconvolution or methylation cytometry, offers a standardized and cost-effective method for evaluating cell-type proportions. While this approach has succeeded in discerning cell types in various human tissues like blood, brain, tumors, skin, breast, and buccal swabs, the existing methods have major …
Using In Silico Tools To Analyze The 5ʹ Untranslated Regions Of The Alcohol Dehydrogenase Gene From Arabidopsis Thaliana And Omega Sequence, Reza Mohammadhassan, Tina Asadishad
Using In Silico Tools To Analyze The 5ʹ Untranslated Regions Of The Alcohol Dehydrogenase Gene From Arabidopsis Thaliana And Omega Sequence, Reza Mohammadhassan, Tina Asadishad
Makara Journal of Science
The 5ʹ ends of protein-encoding genes contain 5ʹ untranslated regions (5ʹUTRs), which can effectively participate in regulating gene expression. The 5ʹUTRs of Arabidospis thaliana–derived alcohol dehydrogenase gene (AtADH) and omega (Ω) sequence from tobacco mosaic virus (TMV) are the most effective enhancers in biotechnology. In this study, bioinformatics techniques were employed to analyze the characteristics of the above sequences. After 5ʹUTR sequence collection, the inner ribosome entrance sites; small RNA (sRNA) target sequences; nucleotide contents; and upstream start and stop codons, ORFs, and coding DNA sequences of the Ω sequence and AtADH 5ʹUTR were identified. Moreover, the …
Investigating The Impact Of Transcription On Mutation Rates, Sarah Patterson
Investigating The Impact Of Transcription On Mutation Rates, Sarah Patterson
Theses and Dissertations
tRNA genes are highly transcribed and perform one of the most fundamental cellular functions. Although a universal pattern observed across all three domains of life is that highly transcribed genes tend to evolve slowly, tRNA genes have been shown previously to evolve rapidly. This rapid sequence evolution could result from relaxed selection, increased mutation rate, or a combination of both. Here, we use mutation-accumulation line sequencing data to show that tRNA genes accumulate more mutations than other gene types. Our results indicate that this elevated mutation rate is a consequence of both elevated transcription-associated mutagenesis and a lack of transcription-coupled …
Convolutional Neural Network-Based Gene Prediction Using Buffalograss As A Model System, Michael Morikone
Convolutional Neural Network-Based Gene Prediction Using Buffalograss As A Model System, Michael Morikone
Dissertations and Doctoral Documents from University of Nebraska-Lincoln, 2023–
The task of gene prediction has been largely stagnant in algorithmic improvements compared to when algorithms were first developed for predicting genes thirty years ago. Rather than iteratively improving the underlying algorithms in gene prediction tools by utilizing better performing models, most current approaches update existing tools through incorporating increasing amounts of extrinsic data to improve gene prediction performance. The traditional method of predicting genes is done using Hidden Markov Models (HMMs). These HMMs are constrained by having strict assumptions made about the independence of genes that do not always hold true. To address this, a Convolutional Neural Network (CNN) …
Flavonol Glucosylation: A Structural Investigation Of The Flavonol Specific 3-O Glucosyltransferase Cp3gt, Aaron S. Birchfield
Flavonol Glucosylation: A Structural Investigation Of The Flavonol Specific 3-O Glucosyltransferase Cp3gt, Aaron S. Birchfield
Electronic Theses and Dissertations
Flavonoid glycosyltransferases (GTs), enzymes integral to plant ecological responses and human pharmacology, necessitate rigorous structural elucidation to decipher their mechanistic function and substrate specificity, particularly given their role in the biotransformation of diverse pharmacological agents and natural products. This investigation delved into a comprehensive exploration of the flavonol 3-O GT from Citrus paradisi (Cp3GT), scrutinizing the impact of a c-terminal c-myc/6x histidine tag on its enzymatic activity and substrate specificity, and successfully achieving its purification to apparent homogeneity. This established a strong foundation for potential future crystallographic and other structure/function analyses. Through the strategic implementation of site-directed mutagenesis, a thrombin …
Exploring Soil Microbial Dynamics In Southern Appalachian Forests: A Systems Biology Approach To Prescribed Fire Impacts, Saad Abd Ar Rafie
Exploring Soil Microbial Dynamics In Southern Appalachian Forests: A Systems Biology Approach To Prescribed Fire Impacts, Saad Abd Ar Rafie
Doctoral Dissertations
Prescribed fires in Southern Appalachian forests are vital in ecosystem management and wildfire risk mitigation. However, understanding the intricate dynamics between these fires, soil microbial communities, and overall ecosystem health remains challenging. This dissertation addresses this knowledge gap by exploring selected aspects of this complex relationship across three interconnected chapters.
The first chapter investigates the immediate effects of prescribed fires on soil microbial communities. It reveals subtle shifts in porewater chemistry and significant increases in microbial species richness. These findings offer valuable insights into the interplay between soil properties and microbial responses during the early stages following a prescribed fire. …
Regulation Of Protein Synthesis In Arabidopsis Thaliana Through A Bioinformatic And Mathematical Lens, Ricardo Andres Urquidi Camacho
Regulation Of Protein Synthesis In Arabidopsis Thaliana Through A Bioinformatic And Mathematical Lens, Ricardo Andres Urquidi Camacho
Doctoral Dissertations
Organisms exist under constantly varying environmental and internal conditions, which necessitate the differential regulation of gene expression. To synthesize proteins, the ribosome translates the information encoded in the nucleotide sequence of an mRNA into the final, functional amino acid sequence. Knockouts of ribosomal proteins lead to lethality. One such protein is the ribosomal protein 6 of the small subunit (eS6/RPS6). We confirmed that the knockout of either one of two eS6 paralogs in Arabidopsis leads to stunted growth and chlorosis. Here, these phenotypes have been further characterized in seedlings by precisely quantifying the ribosome loading of mRNAs as well as …
Genomic Characterization Of Adolescent And Young Adult Cancers: Investigation Of Ewing Sarcoma Susceptibility And Chornobyl Thyroid Tumors, Olivia Lee
Dissertations & Theses (Open Access)
Adolescent and young adult (AYA) cancers, diagnosed between the ages of 15 and 39, can exhibit distinctive genetic and molecular characteristics. Reported epidemiologic findings and treatment outcomes based on pediatric and adult cancer studies are often not suitable for application to the AYA population, underscoring the need for more thorough genomic research. Advances in sequencing technologies have enabled comprehensive analyses of complex genomic characteristics of AYA cancers, crucial for understanding the underlying biology of these malignancies. Here, I have utilized advanced sequencing techniques and integrated analytic approaches to describe important genomic features in two different AYA cancer types: Ewing Sarcoma …
Interpretable Mechanistic And Machine Learning Models For Pre-Dicting Cardiac Remodeling From Biochemical And Biomechanical Features, Anamul Haque
All Dissertations
Biochemical and biomechanical signals drive cardiac remodeling, resulting in altered heart physiology and the precursor for several cardiac diseases, the leading cause of death for most racial groups in the USA. Reversing cardiac remodeling requires medication and device-assisted treatment such as Cardiac Resynchronization Therapy (CRT), but current interventions produce highly variable responses from patient to patient. Mechanistic modeling and Machine learning (ML) approaches have the functionality to aid diagnosis and therapy selection using various input features. Moreover, 'Interpretable' machine learning methods have helped make machine learning models fairer and more suited for clinical application. The overarching objective of this doctoral …
A Cancer-Specific Study On The Differentially Expressed Protein-Protein Interactions Of Fumarate Hydratase, Sydney Lac
A Cancer-Specific Study On The Differentially Expressed Protein-Protein Interactions Of Fumarate Hydratase, Sydney Lac
Dissertations & Theses (Open Access)
Fumarate hydratase (FH) is an enzyme used in the Krebs Cycle to convert fumarate to malate, and it is controlled by the FH gene. In this paper, we will investigate its role in Uterine Corpus Endometrial Carcinoma (UCEC) and how FH-deficient cells affect tumorigenesis. It is well-established that FH has been extensively studied in connection with renal cell carcinoma, skin and uterine leiomyomas, pheochromocytoma, and paraganglioma. However, we aim to construct an interaction network of significant genes related to the FH gene under conditions of FH deficiency in the Kreb Cycle. Creating an interactive network that illustrates the interconnectedness of …
Novel Microbial Guilds Implicated In N2o Reduction, Guang He
Novel Microbial Guilds Implicated In N2o Reduction, Guang He
Doctoral Dissertations
N2O is a long-recognized greenhouse gas (GHG) with potential in global warming and ozone depletion. Terrestrial ecosystems are a major source of N2O due to imbalanced N2O production and consumption. Soil pH is a chief modulating factor controlling net N2O emissions, and N2O consumption has been considered negligible under acidic conditions (pH <6). In this dissertation, we obtained solids-free cultures reducing N2O at pH 4.5. Furthermore, a co-culture (designated culture EV) comprising two interacting bacterial population was acquired via consecutive transfer in mineral salt medium. Integrated phenotypic, metagenomic and metabolomic analysis dictated that the Serratia population excreted certain …6).>
A Review Of Threat Vectors To Dna Sequencing Pipelines, Tyler Rector
A Review Of Threat Vectors To Dna Sequencing Pipelines, Tyler Rector
Cybersecurity Undergraduate Research Showcase
Bioinformatics is a steadily growing field that focuses on the intersection of biology with computer science. Tools and techniques developed within this field are quickly becoming fixtures in genomics, forensics, epidemiology, and bioengineering. The development and analysis of DNA sequencing and synthesis have enabled this significant rise in demand for bioinformatic tools. Notwithstanding, these bioinformatic tools have developed in a research context free of significant cybersecurity threats. With the significant growth of the field and the commercialization of genetic information, this is no longer the case. This paper examines the bioinformatic landscape through reviewing the biological and cybersecurity threats within …
Computational Molecular Docking Studies Of Small Molecule Inhibitors With The Sars-Cov-2 Spike Protein Variants: In-Silico Drug Discovery Using Virtual Screening And Drug Repurposing Approaches, Grace Gupta
Computational and Data Sciences (MS) Theses
The pandemic caused by the emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019 has caused a global public health crisis of nearly unprecedented scale. In the years following the outbreak, the scientific community has mobilized to develop several vaccines and treatments. Drug repurposing as a strategy for drug development has produced many of the current therapeutic options. The greatest challenge to designing a therapeutic inhibitor of SARS-CoV-2 is the shifting mutational landscape of the virus as it evolves. In this study, we focus on the spike protein as a target for potential inhibitors. We explore two …
Determining The Effects Of Glycocalyx Modifications On The Electrophysical Properties Of Human Mesenchymal Stem Cells, Rominna E. Valentine Ico
Determining The Effects Of Glycocalyx Modifications On The Electrophysical Properties Of Human Mesenchymal Stem Cells, Rominna E. Valentine Ico
Electronic Theses, Projects, and Dissertations
Human mesenchymal stem cells (hMSCs) have gained popularity in clinical trials due to their multipotent differentiation characteristics, ability to secrete bioactive molecules, migrate into diseased or damaged tissues, and their immunosuppressive properties. HMSC cultures are heterogeneous, containing stem cells, partially differentiated progenitor cells, and fully differentiated cells. One of the major challenges with hMSCs therapeutic potential is the inability to select specific cell subpopulations due to an insufficient number of biomarkers. Often the biomarkers used, like those for fluorescence-activated cell sorting, are not sufficient to define hMSCs because they overlap with other cell types. Consequently, there is a need to …
Identification Of Biomarkers Of Sub-Lethal Algal Toxin Exposure In Atlantic Salmon (Salmo Salar) And Chinook Salmon (Oncorhynchus Tshawytscha) Using Differential Gene Expression Analysis, Brandon Ellingson
Biology Theses
Atlantic Salmon (Salmo salar) and Chinook Salmon (Oncorhynchus tshawytscha) are important culturally, recreationally, economically, and are a common aquaculture species in Canada and the United States. In the Pacific Northwest, blooms of toxic algae result in millions of dollars annually in losses for salmonid aquaculture producers. Blooms of harmful cyanobacteria produce microcystins which have been linked to net-pen liver disease which has large financial impacts on net pen salmon operations. Microcystin-LR, the most toxic variant, bioaccumulates in the liver and disrupts normal cellular activity by inhibiting protein phosphatases leading to deleterious effects on growth, immune status, and liver function. To …
Brown Anole (Anolis Sagrei) Hoxa5: Insights Into The Divergence Of Hoxa5 Gene Expression And Regulation Across Evolutionarily Divergent Gnathostome Vertebrates, Jennifer A. Lange, Amber L. Rittgers, Adam Davis
Brown Anole (Anolis Sagrei) Hoxa5: Insights Into The Divergence Of Hoxa5 Gene Expression And Regulation Across Evolutionarily Divergent Gnathostome Vertebrates, Jennifer A. Lange, Amber L. Rittgers, Adam Davis
Georgia Journal of Science
Hox genes are evolutionarily conserved developmental regulatory genes that function, in part, to pattern the anterior-posterior (AP) axis of organs and organ systems during animal embryonic development. Hoxa5, specifically, is shown to be expressed in the spinal cord, somites, or transient compartments giving rise to the vertebrae and ribs, developing gut, lungs, and limbs of the mouse (Mus musculus). The cis-regulatory elements (CREs), or short DNA sequences, that direct Hoxa5 expression in these embryonic domains have been mapped and functionally tested in the mouse as well. Similar Hoxa5 expression patterns have been observed in chicken ( …
From Formulas To Futures: Mathematical Insights Into Endosomal Escape, Fnu Nisha
From Formulas To Futures: Mathematical Insights Into Endosomal Escape, Fnu Nisha
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
An Insight Into The Physicochemical, Drug-Likeness, Pharmacokinetics And Toxicity Profile Of Kigelia Africana (Lam) Bioactive Compounds, Sulyman Olalekan Ibrahim, Halimat Yusuf Lukman, Marili Funmilayo Zubair, Oluwagbemiga Tayo Amusan, Fatimah Ronke Abdulkadri, Bashir Lawal, Lateefat Bello Abdulfatah, Olubunmi Atolani
An Insight Into The Physicochemical, Drug-Likeness, Pharmacokinetics And Toxicity Profile Of Kigelia Africana (Lam) Bioactive Compounds, Sulyman Olalekan Ibrahim, Halimat Yusuf Lukman, Marili Funmilayo Zubair, Oluwagbemiga Tayo Amusan, Fatimah Ronke Abdulkadri, Bashir Lawal, Lateefat Bello Abdulfatah, Olubunmi Atolani
Al-Bahir Journal for Engineering and Pure Sciences
Kigelia africana plant is multipurpose plant whose therapeutic potential has been thoroughly investigated. The physicochemical, solubilities, ADMET, pharmacological, and drug-like properties of this plant have not been reported in details. This study makes use of the information that is currently known on the chemical make-up of the plant to forecast its overall toxicity as well as the potential for the phytochemicals it contains to be employed in medication discovery. The study also employed free web servers for the lipophilicity, water solubility, drug-likness, bioavailability score, medicinal chemistry and toxicological profiling of the compounds of K. africana. Artemether, a known antimalaria …
Coupling Chemical And Genomic Data Of Marine Sediment-Associated Bacteria For Metabolite Profiling, Stephanie P. Suarez
Coupling Chemical And Genomic Data Of Marine Sediment-Associated Bacteria For Metabolite Profiling, Stephanie P. Suarez
USF Tampa Graduate Theses and Dissertations
Marine sediment-associated bacteria house many new and exciting novel secondary metabolites. These metabolites can be tested for bioactivity against various types of cancer and fungal, bacterial, and viral infections. In this thesis, we investigated the combination of biosynthetic gene cluster information with mass spectra to perform a chemical profiling of sediment- associated bacteria. Furthermore, we utilized a scoring technique to provide an identification and confidence score to each annotated compound. The sediment was collected from east Arthur Harbor, Palmer Station, Antarctica, at depths of 20 ft and 60 ft. After plating on agar, 52 unique bacterial strains were isolated, with …
Investigating The Effect Of Agronomic Factors On Microbiome Of Horticulture Produce, Maryada Bohra
Investigating The Effect Of Agronomic Factors On Microbiome Of Horticulture Produce, Maryada Bohra
ORBioM (Open Research BioSciences Meeting)
The ranged microbiome in fruits and vegetables contributes substantially to the health of vegetation which, in effect, benefits human health. These microorganisms undertake an extensive variety of responsibilities including flavour creation, ripening and health preservation via the production of second-generation metabolites. There is limited information however on the influence of agronomic practices such as crop ripening stage at harvest, storage, packing material and how they impact the microbiome of the crop itself. The overall role of the crop microbiome in gut health is also not fully clear.
The Meta-Hort project will examine the effects of premature harvesting along with tray …
Microbiome And Virome Analysis In Early Life, Lakshmi Priyadarshini
Microbiome And Virome Analysis In Early Life, Lakshmi Priyadarshini
ORBioM (Open Research BioSciences Meeting)
A wide variety of microorganisms, including bifidobacteria, are known to colonise the human gastrointestinal tract. Bifidobacteria are beneficial bacteria known to be particularly prevalent and abundant in the gut of healthy and breast-fed infants. Together with bacteria, bacteriophages can be vertically transmitted from mother to newborn during vaginal delivery and they are believed to play a role in influencing bacterial levels and microbiota composition in early in life. While there is a significant amount of information on early bacterial colonisers in the infant gut, there is currently very limited knowledge of diversity and prevalence of gut bacteriophages and their impact …
Urobiome Screening For Antimicrobial Peptides Against Uropathogenic Escherichia Coli, Jennifer Jones
Urobiome Screening For Antimicrobial Peptides Against Uropathogenic Escherichia Coli, Jennifer Jones
ORBioM (Open Research BioSciences Meeting)
BACKGROUND: Urinary tract infections (UTIs) are one of the most common bacterial infections worldwide. As global incidences of UTIs caused by multidrug resistant bacteria continue to increase, so too does the demand for novel antimicrobial therapies.
Due to its relatively understudied nature, the urinary microbiome represents a niche with an untapped source of potentially novel antimicrobials (e.g., bacteriocins). Improvements to bacterial culturing and sequencing techniques have highlighted these potential alternative treatments and control strategies to target antibiotic resistant uropathogenic E. coli (UPEC).
METHODS: Expanded quantitative urine culture (EQUC) was used to culture bacterial isolates from mid-stream urine samples. Urinary isolates …
The Detection Of Putative Recessive Lethal Haplotypes In Irish Sheep Populations, Rory Mcauley
The Detection Of Putative Recessive Lethal Haplotypes In Irish Sheep Populations, Rory Mcauley
ORBioM (Open Research BioSciences Meeting)
In livestock populations, recessive lethal alleles are a known contributor to poor reproductive performance due to embryonic death in homozygous individuals. Despite their lethal effect in the recessive form, these alleles may be maintained at high frequencies among carrier animals because of their positive pleiotropic effects on economically important traits. Although several such recessive alleles have been identified in cattle and pig populations, limited studies have been completed in sheep, and none within Irish sheep populations. Genotype data for 69,034 animals from five major Irish sheep breeds genotyped on a variety of panels was available for this study. Only animals …
Plastic Recycling Using Waxworms: Biotechnology Solutions, Lance Wood
Plastic Recycling Using Waxworms: Biotechnology Solutions, Lance Wood
Sustainability Conference
As small particles that do not degrade, microplastics harm the environment. Plastics are physically broken down rather than chemically during the traditional recycling process. An insect naturally found in honeybee hives known as the waxworm can break down the most common plastic: polyethylene. A literature review was conducted on a new method to recycle plastics involving the waxworm Galleria mellonella. Literary review studies suggest that recycling using waxworms is more efficient and faster than traditional methods due to oxidation by enzymes. After conducting a literature review, a bioinformatics study was carried out using published DNA and protein sequences. Two promising …
Tracing Evolution Of Gene Transfer Agents Using Comparative Genomics, Roman Kogay
Tracing Evolution Of Gene Transfer Agents Using Comparative Genomics, Roman Kogay
Dartmouth College Ph.D Dissertations
The accumulating evidence suggest that viruses and their components can be domesticated by their hosts, equipping them with convenient molecular toolkits for various functions. One of such domesticated system is Gene Transfer Agents (GTAs) that are produced by some bacteria and archaea. GTAs morphologically resemble small phage-like particles and contain random fragments of their host genome. They are produced only by a small fraction of the microbial population and are released through a lysis of the host cell. Bioinformatic analyses suggest that GTAs are especially abundant in the taxonomic class of Alphaproteobacteria, where they are vertically inherited and evolve …
Convolutional Neural Network-Based Gene Prediction Using Buffalograss As A Model System, Michael Morikone
Convolutional Neural Network-Based Gene Prediction Using Buffalograss As A Model System, Michael Morikone
Complex Biosystems PhD Program: Dissertations
The task of gene prediction has been largely stagnant in algorithmic improvements compared to when algorithms were first developed for predicting genes thirty years ago. Rather than iteratively improving the underlying algorithms in gene prediction tools by utilizing better performing models, most current approaches update existing tools through incorporating increasing amounts of extrinsic data to improve gene prediction performance. The traditional method of predicting genes is done using Hidden Markov Models (HMMs). These HMMs are constrained by having strict assumptions made about the independence of genes that do not always hold true. To address this, a Convolutional Neural Network (CNN) …
Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou
Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Previous efforts in using genome-wide analysis of transcription factor binding sites (TFBSs) have overlooked the importance of ranking potential significant regulatory regions, especially those with repetitive binding within a local region. Identifying these homogenous binding sites is critical because they have the potential to amplify the binding affinity and regulation activity of transcription factors, impacting gene expression and cellular functions. To address this issue, we developed an open-source tool Motif-Cluster that prioritizes and visualizes transcription factor regulatory regions by incorporating the idea of local motif clusters. Motif-Cluster can rank the significant transcription factor regulatory regions without the need for experimental …