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Full-Text Articles in Genetics and Genomics

Heterogeneity Of Gene Trees, Jonathan Nenye Odumegwu Unm Jul 2022

Heterogeneity Of Gene Trees, Jonathan Nenye Odumegwu Unm

Mathematics & Statistics ETDs

Multilocus phylogenetic studies often show a high degree of gene tree heterogeneity —gene trees that have different topologies from each other as well as from the species tree topology. In some cases, this can lead to studies with hundreds of loci having distinct gene tree topologies. The degree of heterogeneity is expected to increase when there is a high degree of incomplete lineage sorting due to short branches (as measured in coalescent units) in the species tree. Other potential sources of heterogeneity include other biological processes such as introgression, recombination within genes, ancestral population structure, gene duplication and loss, and …


The Importance Of Understanding And Developing Identification Techniques In Wildlife Crime, Savannah Nguyen Jun 2022

The Importance Of Understanding And Developing Identification Techniques In Wildlife Crime, Savannah Nguyen

D.U.Quark

Wildlife crime continues to grow annually and globally, impacting several species and ecosystems. New advancements of technologies and techniques can track criminals and aid the affected victims. Highlighting the complexity of conservation and the development of identification techniques helps tackle this widespread dilemma. New developing techniques in wildlife forensics can differentiate an animal between wild and poached to pave the way for further advancement in understanding wildlife crimes. Hence, though the wildlife forensics field is still new, emphasizing the need for intricate identification techniques can help save threatened species.


Symmetry-Inspired Analysis Of Biological Networks, Ian Leifer Jun 2022

Symmetry-Inspired Analysis Of Biological Networks, Ian Leifer

Dissertations, Theses, and Capstone Projects

The description of a complex system like gene regulation of a cell or a brain of an animal in terms of the dynamics of each individual element is an insurmountable task due to the complexity of interactions and the scores of associated parameters. Recent decades brought about the description of these systems that employs network models. In such models the entire system is represented by a graph encapsulating a set of independently functioning objects and their interactions. This creates a level of abstraction that makes the analysis of such large scale system possible. Common practice is to draw conclusions about …


Gene Drives And The Consequences Of Over-Suppression, Cole Butler May 2022

Gene Drives And The Consequences Of Over-Suppression, Cole Butler

Biology and Medicine Through Mathematics Conference

No abstract provided.


Du Undergraduate Showcase: Research, Scholarship, And Creative Works: Abstracts, Emma Aggeler, Elena Arroway, Daisy T. Booker, Justin Bravo, Kyle Bucholtz, Megan Burnham, Nicole Choi, Spencer Cockerell, Rosie Contino, Jackson Garske, Kaitlyn Glover, Caroline Hamilton, Haley Hartmann, Madalyne Heiken, Colin Holter, Leah Huzjak, Alyssa Jeng, Cole Jernigan, Chad Kashiwa, Adelaide Kerenick, Emily King, Abigail Langeberg, Maddie Leake, Meredith Lemons, Alec Mackay, Greer Mckinley, Ori Miller, Guy Milliman, Katherine Miromonti, Audrey Mitchell, Lauren Moak, Megan Morrell, Gelella Nebiyu, Zdenek Otruba, Toni V. Panzera, Kassidy Patarino, Sneha Patil, Alexandra Penney, Kevin Persky, Caitlin Pham, Gabriela Recinos, Mary Ringgenberg, Chase Routt, Olivia Schneider, Roman Shrestha, Arlo Simmerman, Alec Smith, Tessa Smith, Nhi-Lac Thai, Kyle Thurmann, Casey Tindall, Amelia Trembath, Maria Trubetskaya, Zachary Vangelisti, Peter Vo, Abby Walker, David Winter, Grayden Wolfe, Leah York May 2022

Du Undergraduate Showcase: Research, Scholarship, And Creative Works: Abstracts, Emma Aggeler, Elena Arroway, Daisy T. Booker, Justin Bravo, Kyle Bucholtz, Megan Burnham, Nicole Choi, Spencer Cockerell, Rosie Contino, Jackson Garske, Kaitlyn Glover, Caroline Hamilton, Haley Hartmann, Madalyne Heiken, Colin Holter, Leah Huzjak, Alyssa Jeng, Cole Jernigan, Chad Kashiwa, Adelaide Kerenick, Emily King, Abigail Langeberg, Maddie Leake, Meredith Lemons, Alec Mackay, Greer Mckinley, Ori Miller, Guy Milliman, Katherine Miromonti, Audrey Mitchell, Lauren Moak, Megan Morrell, Gelella Nebiyu, Zdenek Otruba, Toni V. Panzera, Kassidy Patarino, Sneha Patil, Alexandra Penney, Kevin Persky, Caitlin Pham, Gabriela Recinos, Mary Ringgenberg, Chase Routt, Olivia Schneider, Roman Shrestha, Arlo Simmerman, Alec Smith, Tessa Smith, Nhi-Lac Thai, Kyle Thurmann, Casey Tindall, Amelia Trembath, Maria Trubetskaya, Zachary Vangelisti, Peter Vo, Abby Walker, David Winter, Grayden Wolfe, Leah York

DU Undergraduate Research Journal Archive

Abstracts from the DU Undergraduate Showcase.


Genetic Structure Of Urban White-Tailed Deer In West Michigan, Jacob David Brand May 2022

Genetic Structure Of Urban White-Tailed Deer In West Michigan, Jacob David Brand

Masters Theses

In urban areas, green spaces are used by humans and wildlife. The proximity between them can lead to both positive and negative interactions, which can make managing urban wildlife difficult. Managers are challenged due to conflicts between wildlife population sizes that can be naturally supported versus those that are socially tolerable. White-tailed deer (Odocoileus virginianus) thrive in urban environments because their habitat requirements are met within green spaces and backyard vegetation. Matrilineal groups of urban white-tailed deer live within the same areas, at times forming high densities that can lead to the spread of diseases or environmental pests, including hemlock …


Halodash: The Deep And Shallow History Of Aquatic Life's Passages Between Marine And Freshwater Habitats, Eric T. Schultz, Lisa Park Boush May 2022

Halodash: The Deep And Shallow History Of Aquatic Life's Passages Between Marine And Freshwater Habitats, Eric T. Schultz, Lisa Park Boush

EEB Articles

This series of papers highlights research into how biological exchanges between salty and freshwater habitats have transformed the biosphere. Life in the ocean and in freshwaters have long been intertwined; multiple major branches of the tree of life originated in the oceans and then adapted to and diversified in freshwaters. Similar exchanges continue to this day, including some species that continually migrate between marine and fresh waters. The series addresses key themes of transitions, transformations, and current threats with a series of questions: When did major colonizations of fresh waters happen? What physiographic changes facilitated transitions? What organismal characteristics facilitate …


Root Phenotyping Of Peptide-Treated Glycine Max, Salem Jackson May 2022

Root Phenotyping Of Peptide-Treated Glycine Max, Salem Jackson

Biological Sciences Undergraduate Honors Theses

Plant elicitor peptides (Peps) – endogenous chains of amino acids involved in natural plant defense – have been shown to decrease damage from herbivores and pathogens by inducing an immune response, increasing the emission of volatile organic compounds (VOCS), transcripts, and metabolites. Exogenous treatment of soybean seeds with plant elicitor peptide GmPep3 has been shown to induce these broad-spectrum defenses and offers a new method for increasing crop yield. However, the effects of GmPep3 on indicators of soybean health – root characteristics, growth stages, etc. – have not been fully realized.

Using the root-phenotyping platform RhizoVision Explorer, several root traits …


Comparative Analyses Of De Novo Transcriptome Assembly Pipelines For Diploid Wheat, Natasha Pavlovikj May 2022

Comparative Analyses Of De Novo Transcriptome Assembly Pipelines For Diploid Wheat, Natasha Pavlovikj

School of Computing: Dissertations, Theses, and Student Research

Gene expression and transcriptome analysis are currently one of the main focuses of research for a great number of scientists. However, the assembly of raw sequence data to obtain a draft transcriptome of an organism is a complex multi-stage process usually composed of pre-processing, assembling, and post-processing. Each of these stages includes multiple steps such as data cleaning, error correction and assembly validation. Different combinations of steps, as well as different computational methods for the same step, generate transcriptome assemblies with different accuracy. Thus, using a combination that generates more accurate assemblies is crucial for any novel biological discoveries. Implementing …


Using Machine Learning To Recognize Chronic Rhinosinusitis, Irene Liu '23 Apr 2022

Using Machine Learning To Recognize Chronic Rhinosinusitis, Irene Liu '23

Student Publications & Research

Chronic Rhinosinusitis (CRS) is a nasal disease characterized by the inflammation of the mucosa and paranasal sinuses with a duration of at least 12 consecutive weeks. So, to diagnose CRS, one needs to keep a record of their symptoms for ~12 weeks before they are recommended to get a tomography which will allow physicians to classify them as a patient with CRS or without. This is a timely and costly process; thus, machine learning should be used to speed the process up. Since patients with CRS have more obstructed noses, the sound produced should be different than an individual without …


The Synthesis And Purification Methodology Of An Intermolecular Pyrophosphate Sensor: Applications For The Quantitative Polymerase Chain Reaction, Ethan Gevedon Apr 2022

The Synthesis And Purification Methodology Of An Intermolecular Pyrophosphate Sensor: Applications For The Quantitative Polymerase Chain Reaction, Ethan Gevedon

Honors Projects

The optimized synthesis and purification methodology for an intermolecular pyrophosphate sensor scaffold molecule was performed: high performance liquid chromatography afforded the scaffold in excellent purity and yield. The applications of the sensor assembly in the quantitative polymerase chain reaction were discussed, and preliminary results show that


Population Genomic Dynamics Of Mesopelagic Lanternfishes Diaphus Dumerilii, Lepidophanes Guentheri, And Ceratoscopelus Warmingii (Family: Myctophidae) In The Gulf Of Mexico, Andrea Bernard, Kimberly A. Finnegan, Tracey Sutton, Ron Eytan, Max Weber, Mahmood Shivji Apr 2022

Population Genomic Dynamics Of Mesopelagic Lanternfishes Diaphus Dumerilii, Lepidophanes Guentheri, And Ceratoscopelus Warmingii (Family: Myctophidae) In The Gulf Of Mexico, Andrea Bernard, Kimberly A. Finnegan, Tracey Sutton, Ron Eytan, Max Weber, Mahmood Shivji

Marine & Environmental Sciences Faculty Articles

Assessing the impacts of the Deepwater Horizon oil spill (DWHOS) on deep-sea fish assemblages of the Gulf of Mexico (GOM) has been hindered by an absence of baseline (pre-spill) data concerning the population genetic dynamics of these fishes. The lanternfishes (Myctophidae) are a speciose, yet understudied, taxonomic group, that comprise a significant portion of the global deep-sea biomass, making them integral members of meso- and bathy-pelagic food webs. Herein, we used a genomic approach (double digest restriction site associated DNA sequencing) to investigate the temporal genetic dynamics of three species of lanternfishes within the northern GOM in the region of …


Annual Faculty Research Symposium 2022, Oakwood University Apr 2022

Annual Faculty Research Symposium 2022, Oakwood University

Proceedings

No abstract provided.


The Effects Of Temperature Changes On Bioluminescent Dinoflagellates (How Climate Change May Affect Our Ocean's Raves), Kayleigh X. Ambrose, Molly Fleming, Carla Caceres Apr 2022

The Effects Of Temperature Changes On Bioluminescent Dinoflagellates (How Climate Change May Affect Our Ocean's Raves), Kayleigh X. Ambrose, Molly Fleming, Carla Caceres

PRECS student projects

Many species of Dinoflagellates are capable of producing bioluminescence. Most species will have an optimal temperature range for bioluminescence production. With sea surface temperatures expected to rise, we have designed an experiment to test the relationship between temperature and bioluminescence in Pyrocystis fusiformis.


Bacterial Metabolism Of Glucosinolates From Brassica: Association With Isothiocyanate Production, Stephanie Thomas, Jiaxuan Li, Michael J. Miller Apr 2022

Bacterial Metabolism Of Glucosinolates From Brassica: Association With Isothiocyanate Production, Stephanie Thomas, Jiaxuan Li, Michael J. Miller

PRECS student projects

Study Focus: To explore the alternative metabolic pathways of GSLs in bacteria, present on the surface of brassica vegetables.

Hypothesis: The alternative pathways used to metabolize GSLs in bacteria located on the surface of brassica vegetables, may contribute to the high variance of human gut GSL conversion to ITC.


Concentrating On Carbon Concentration In Algae, Chandra Davies, Steven Burgess Apr 2022

Concentrating On Carbon Concentration In Algae, Chandra Davies, Steven Burgess

PRECS student projects

Carbon Concentrating Mechanisms Improve Photosynthesis Rates in Low-Carbon Environments. CCMs allow the aggregation of carbon near the site of rubisco, that way even small amounts of available carbon are being utilized.

Yes, this is important to you!

Albeit somewhat indirectly, but massively nonetheless! Algae are a driving force behind the global carbon cycle, they sequester CO2 in the oceans. Understanding the mechanisms behind the tiny marine alga O. tauri gives us a better understanding of a vital global process.


Polinators In Peril - Are Illinois Native Bees Getting Smaller?, Anthony Lamb, Tristan Barley, Adam Dolezal Apr 2022

Polinators In Peril - Are Illinois Native Bees Getting Smaller?, Anthony Lamb, Tristan Barley, Adam Dolezal

PRECS student projects

Why it matters.

Pollination services provided by native bees are an important natural process, providing ~150 billion dollars globally in agricultural gains.

A bee’s body size is a trait that is an important indicator of the nutritional environment. A loss of habitat results in a loss of rich nutritional environments as flowers and resource become more fragmented and scarcer.

It has been discovered that a bee’s body size is a determinant of their foraging range. The smaller the bee, the less distance they can travel for food, therefor, the more susceptible they are to habitat loss and resource limitation.


Exploration Of Squash Plant Floral Volatiles Influencing Beetle Attraction, Olivia Barrett, Nicholas Seiter, Esther Ngumbi, Joseph Spencer, Sarah Hind Apr 2022

Exploration Of Squash Plant Floral Volatiles Influencing Beetle Attraction, Olivia Barrett, Nicholas Seiter, Esther Ngumbi, Joseph Spencer, Sarah Hind

PRECS student projects

Flowers emit volatiles to attract pollinators, but these volatiles can also attract pest insects. Our study builds on earlier findings that showed that cucumber beetle attraction to squash flowers is mediated by volatile release and cucurbitacin accumulation (Theis, 2014, DOI: 10.3732/ajb.1400171). Of the three main domesticated squash species, only a few varieties of Cucurbita maxima had large quantities of floral volatiles and cucurbitacin (Andersen and Metcalf, 1987, doi: 10.1007/BF01020152); however, these studies were limited in the number of varieties that were examined. Here, we increased the number of C. maxima varieties examined, to identify patterns in floral volatile production, with …


How To Quantify Female Mate Preference In Threespine Stickleback, Kaithren Garcia, Megan Tucker, Meghan Maciejewski, Usan Dan, Alison M. Bell Apr 2022

How To Quantify Female Mate Preference In Threespine Stickleback, Kaithren Garcia, Megan Tucker, Meghan Maciejewski, Usan Dan, Alison M. Bell

PRECS student projects

Social behavior is diverse. For example, males from two stickleback ecotypes (whites and commons, Fig. 1) are highly divergent in courtship and parental care behavior [1]. Little is known about ecotypic differences in female behavior. In this study, we develop methods to quantify female preference in this system.


Intra- And Interspecific Variation In Tadpole Lateral Line Cells, Sarah Porth, Lisa Surber, Eva Fischer Apr 2022

Intra- And Interspecific Variation In Tadpole Lateral Line Cells, Sarah Porth, Lisa Surber, Eva Fischer

PRECS student projects

Background

  • The lateral line is a sensory system that detects motion and pressure in fish & larval amphibians.
  • The sensory end organs are called neuromasts.
  • A gosner stage describes the 46 stages of tadpole development

Hypothesis: We hypothesize that the number of neuromasts will vary more between species than within a species.


Stressed Out: Why Does Ancient Maize Thrive In High-Stress Conditions?, Alexander C. Lozano, Aaron Mleziva, Esther Ngumbi Apr 2022

Stressed Out: Why Does Ancient Maize Thrive In High-Stress Conditions?, Alexander C. Lozano, Aaron Mleziva, Esther Ngumbi

PRECS student projects

Why is understanding stress response in maize so important?

  • Maize, along with rice and wheat, provide at least 30% of calories to over 4.5 billion people
  • Increases in flooding events has heavily impacted natural vegetation and crop production
  • Combinatorial stresses, particularly flooding and herbivory, remain understudied for both modern and ancient verities of maize
  • Ancient maize may be a superior genetic resource for flood-tolerant corn


Exploring Amaranth’S Color Palette: Linking Phenotype, Plant Adaptation, And Human Health, Sarah Redman, Chance Riggins Ph.D. Apr 2022

Exploring Amaranth’S Color Palette: Linking Phenotype, Plant Adaptation, And Human Health, Sarah Redman, Chance Riggins Ph.D.

PRECS student projects

Amaranthus is a genus containing species that are highly desirable, yet underutilized crops and species that are highly despised pernicious agricultural weeds.

  • Cultivated species are primarily grown as nutritious pseudograins, colorful ornamentals, or leafy greens and are recognized for tolerance to heat, drought, and salinity.
  • Weedy amaranths possess similar adaptive traits, in addition to evolved resistance to numerous herbicides, and pose severe challenges to global agriculture.
  • Plant pigments (i.e., betalains, carotenoids) are central to understanding this impressive diversity of phenotypes and adaptive traits.


The Clock Modulator Nobiletin Mitigates Astrogliosis-Associated Neuroinflammation And Disease Hallmarks In An Alzheimer’S Disease Model, Marvin Wirianto, Chih-Yen Wang, Eunju Kim, Nobuya Koike, Ruben Gomez-Gutierrez, Kazunari Nohara, Gabriel Escobedo, Jong Min Choi, Chorong Han, Kazuhiro Yagita, Sung Yun Jung, Claudio Soto, Hyun Kyoung Lee, Rodrigo Morales, Seung-Hee Yoo, Zheng Chen Mar 2022

The Clock Modulator Nobiletin Mitigates Astrogliosis-Associated Neuroinflammation And Disease Hallmarks In An Alzheimer’S Disease Model, Marvin Wirianto, Chih-Yen Wang, Eunju Kim, Nobuya Koike, Ruben Gomez-Gutierrez, Kazunari Nohara, Gabriel Escobedo, Jong Min Choi, Chorong Han, Kazuhiro Yagita, Sung Yun Jung, Claudio Soto, Hyun Kyoung Lee, Rodrigo Morales, Seung-Hee Yoo, Zheng Chen

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a devastating neurodegenerative disorder, and there is a pressing need to identify disease-modifying factors and devise interventional strategies. The circadian clock, our intrinsic biological timer, orchestrates various cellular and physiological processes including gene expression, sleep, and neuroinflammation; conversely, circadian dysfunctions are closely associated with and/or contribute to AD hallmarks. We previously reported that the natural compound Nobiletin (NOB) is a clock-enhancing modulator that promotes physiological health and healthy aging. In the current study, we treated the double transgenic AD model mice, APP/PS1, with NOB-containing diets. NOB significantly alleviated β-amyloid burden in both the hippocampus and the …


Allosteric Determinants Of The Sars-Cov-2 Spike Protein Binding With Nanobodies: Examining Mechanisms Of Mutational Escape And Sensitivity Of The Omicron Variant, Gennady M. Verkhivker Feb 2022

Allosteric Determinants Of The Sars-Cov-2 Spike Protein Binding With Nanobodies: Examining Mechanisms Of Mutational Escape And Sensitivity Of The Omicron Variant, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

Structural and biochemical studies have recently revealed a range of rationally engineered nanobodies with efficient neutralizing capacity against the SARS-CoV-2 virus and resilience against mutational escape. In this study, we performed a comprehensive computational analysis of the SARS-CoV-2 spike trimer complexes with single nanobodies Nb6, VHH E, and complex with VHH E/VHH V nanobody combination. We combined coarse-grained and all-atom molecular simulations and collective dynamics analysis with binding free energy scanning, perturbation-response scanning, and network centrality analysis to examine mechanisms of nanobody-induced allosteric modulation and cooperativity in the SARS-CoV-2 spike trimer complexes with these nanobodies. By quantifying energetic and allosteric …


Escherichia Coli Alanyl-Trna Synthetase Maintains Proofreading Activity And Translational Accuracy Under Oxidative Stress, Arundhati Kavoor, Paul Kelly, Michael Ibba Feb 2022

Escherichia Coli Alanyl-Trna Synthetase Maintains Proofreading Activity And Translational Accuracy Under Oxidative Stress, Arundhati Kavoor, Paul Kelly, Michael Ibba

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Aminoacyl-tRNA synthetases (aaRSs) are enzymes that synthesize aminoacyl-tRNAs to facilitate translation of the genetic code. Quality control by aaRS proofreading and other mechanisms maintains translational accuracy, which promotes cellular viability. Systematic disruption of proofreading, as recently demonstrated for alanyl-tRNA synthetase (AlaRS), leads to dysregulation of the proteome and reduced viability. Recent studies showed that environmental challenges such as exposure to reactive oxygen species can also alter aaRS synthetic and proofreading functions, prompting us to investigate if oxidation might positively or negatively affect AlaRS activity. We found that while oxidation leads to modification of several residues in Escherichia coli AlaRS, unlike …


Comparative Evaluation Of Assemblers For Metagenomic Data Analysis, Matheus Pavini Franco Ferreira Jan 2022

Comparative Evaluation Of Assemblers For Metagenomic Data Analysis, Matheus Pavini Franco Ferreira

Honors Undergraduate Theses

Metagenomics is a cultivation-independent approach for obtaining the genomic composition of microbial communities. Microbial communities are ubiquitous in nature. Microbes which are associated with the human body play important roles in human health and disease. These roles span from protecting us against infections from other bacteria, to being the causes of these diseases. A deeper understanding of these communities and how they function inside our bodies allows for advancements in treatments and preventions for these diseases. Recent developments in metagenomics have been driven by the emergence of Next-Generation Sequencing technologies and Third-Generation Sequencing technologies that have enabled cost-effective DNA sequencing …


Whole Exome Sequencing Identifies A Novel Mutation In Aspm And Ultra-Rare Mutation In Cdk5rap2 Causing Primary Microcephaly In Consanguineous Pakistani Families, Ehtisham Ul Haq Makhdoom, Haseeb Anwar, Shahid Mahmood Baig, Ghulam Hussain Jan 2022

Whole Exome Sequencing Identifies A Novel Mutation In Aspm And Ultra-Rare Mutation In Cdk5rap2 Causing Primary Microcephaly In Consanguineous Pakistani Families, Ehtisham Ul Haq Makhdoom, Haseeb Anwar, Shahid Mahmood Baig, Ghulam Hussain

Department of Biological & Biomedical Sciences

Background & objectives: Primary Microcephaly (MCPH) is a rare neurogenetic disease, manifesting congenitally reduced head circumference and non-progressive intellectual disability (ID). To date, twenty-eight genes with biallelic mutations have been reported for this disorder. The study aimed for molecular genetic characterization of Pakistani families segregating MCPH.
Methods: We studied two unrelated consanguineous families (family A and B) presenting >2 patients with diagnostic symptoms of MCPH, born to asymptomatic parents. We employed whole-exome sequencing (WES) of probands to find putative causal mutations. The candidate variants were further confirmed and analyzed for co-segregation by Sanger sequencing of all available members of each …


Computational Methods To Analyze Next-Generation Sequencing Data In Genomics And Metagenomics, Saidi Wang Jan 2022

Computational Methods To Analyze Next-Generation Sequencing Data In Genomics And Metagenomics, Saidi Wang

Electronic Theses and Dissertations, 2020-2023

This thesis focuses on two important computational problems in genomics and metagenomics with the public available next-generation sequencing data. One is about gene regulation, for which we explore how distal regulatory elements may interact with the proximal regulatory elements. The other is about metagenomics, in which we study how to reconstruct bacterial strain genomes from shotgun reads. Studying gene regulation, especially distal gene regulation, is important because regulatory elements, including those in distal regulatory regions, orchestrate when, where and how much a gene is activated under every experimental condition. Their dysfunction results in various types of diseases. Moreover, the current …


Completing Single-Cell Dna Methylome Profiles Via Transfer Learning Together With Kl-Divergence, Sanjeeva Dodlapati, Zongliang Jiang, Jiangwen Sun Jan 2022

Completing Single-Cell Dna Methylome Profiles Via Transfer Learning Together With Kl-Divergence, Sanjeeva Dodlapati, Zongliang Jiang, Jiangwen Sun

Computer Science Faculty Publications

The high level of sparsity in methylome profiles obtained using whole-genome bisulfite sequencing in the case of low biological material amount limits its value in the study of systems in which large samples are difficult to assemble, such as mammalian preimplantation embryonic development. The recently developed computational methods for addressing the sparsity by imputing missing have their limits when the required minimum data coverage or profiles of the same tissue in other modalities are not available. In this study, we explored the use of transfer learning together with Kullback-Leibler (KL) divergence to train predictive models for completing methylome profiles with …


Comparing Machine Learning Techniques With State-Of-The-Art Parametric Prediction Models For Predicting Soybean Traits, Susweta Ray Dec 2021

Comparing Machine Learning Techniques With State-Of-The-Art Parametric Prediction Models For Predicting Soybean Traits, Susweta Ray

Department of Statistics: Dissertations, Theses, and Student Research

Soybean is a significant source of protein and oil, and also widely used as animal feed. Thus, developing lines that are superior in terms of yield, protein and oil content is important to feed the ever-growing population. As opposed to the high-cost phenotyping, genotyping is both cost and time efficient for breeders while evaluating new lines in different environments (location-year combinations) can be costly. Several Genomic prediction (GP) methods have been developed to use the marker and environment data effectively to predict the yield or other relevant phenotypic traits of crops. Our study compares a conventional GP method (GBLUP), a …