Genetics and Genomics Commons^™

Stratomod: Predicting Sequencing And Variant Calling Errors With Interpretable Machine Learning, Nathan Dwarshuis, Peter Tonner, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Despite the variety in sequencing platforms, mappers, and variant callers, no single pipeline is optimal across the entire human genome. Therefore, developers, clinicians, and researchers need to make tradeoffs when designing pipelines for their application. Currently, assessing such tradeoffs relies on intuition about how a certain pipeline will perform in a given genomic context. We present StratoMod, which addresses this problem using an interpretable machine-learning classifier to predict germline variant calling errors in a data-driven manner. We show StratoMod can precisely predict recall using Hifi or Illumina and leverage StratoMod's interpretability to measure contributions from difficult-to-map and homopolymer regions for …

Mates: A Deep Learning-Based Model For Locus-Specific Quantification Of Transposable Elements In Single Cell, Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P Wu, Jun Ding

Faculty, Staff and Students Publications

Transposable elements (TEs) are crucial for genetic diversity and gene regulation. Current single-cell quantification methods often align multi-mapping reads to either 'best-mapped' or 'random-mapped' locations and categorize them at the subfamily levels, overlooking the biological necessity for accurate, locus-specific TE quantification. Moreover, these existing methods are primarily designed for and focused on transcriptomics data, which restricts their adaptability to single-cell data of other modalities. To address these challenges, here we introduce MATES, a deep-learning approach that accurately allocates multi-mapping reads to specific loci of TEs, utilizing context from adjacent read alignments flanking the TE locus. When applied to diverse single-cell …

Single-Cell Somatic Copy Number Variants In Brain Using Different Amplification Methods And Reference Genomes, Ester Kalef-Ezra, Zeliha Gozde Turan, Diego Perez-Rodriguez, Ida Bomann, Sairam Behera, Caoimhe Morley, Sonja W Scholz, Zane Jaunmuktane, Jonas Demeulemeester, Fritz J Sedlazeck, Christos Proukakis

Faculty, Staff and Students Publications

The presence of somatic mutations, including copy number variants (CNVs), in the brain is well recognized. Comprehensive study requires single-cell whole genome amplification, with several methods available, prior to sequencing. Here we compare PicoPLEX with two recent adaptations of multiple displacement amplification (MDA): primary template-directed amplification (PTA) and droplet MDA, across 93 human brain cortical nuclei. We demonstrate different properties for each, with PTA providing the broadest amplification, PicoPLEX the most even, and distinct chimeric profiles. Furthermore, we perform CNV calling on two brains with multiple system atrophy and one control brain using different reference genomes. We find that 20.6% …

Impact And Characterization Of Serial Structural Variations Across Humans And Great Apes, Wolfram Höps, Tobias Rausch, Michael Jendrusch, Jan O Korbel, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Modern sequencing technology enables the systematic detection of complex structural variation (SV) across genomes. However, extensive DNA rearrangements arising through a series of mutations, a phenomenon we refer to as serial SV (sSV), remain underexplored, posing a challenge for SV discovery. Here, we present NAHRwhals ( https://github.com/WHops/NAHRwhals ), a method to infer repeat-mediated series of SVs in long-read genomic assemblies. Applying NAHRwhals to haplotype-resolved human genomes from 28 individuals reveals 37 sSV loci of various length and complexity. These sSVs explain otherwise cryptic variation in medically relevant regions such as the TPSAB1 gene, 8p23.1, 22q11 and Sotos syndrome regions. Comparisons …

Project Give: Using A Virtual Genetics Service Platform To Reduce Health Inequities And Improve Access To Genomic Care In An Underserved Region Of Texas, Blake Vuocolo, Roberta Sierra, Daniel Brooks, Christopher Holder, Lauren Urbanski, Keila Rodriguez, Jose David Gamez, Surya Narayan Mulukutla, Ana Hernandez, Alberto Allegre, Humberto Hidalgo, Sarah Rodriguez, Sandy Magallan, Jeremy Gibson, Juan Carlos Bernini, Melanie Watson, Robert Nelson, Lizbeth Mellin-Sanchez, Nancy Garcia, Lori Berry, Hongzheng Dai, Claudia Soler-Alfonso, Kent Carter, Brendan Lee, Seema R Lalani

Faculty, Staff and Students Publications

BACKGROUND: The utilization of genomic information to improve health outcomes is progressively becoming more common in clinical practice. Nonetheless, disparities persist in accessing genetic services among ethnic minorities, individuals with low socioeconomic status, and other vulnerable populations. The Rio Grande Valley (RGV) at the Texas-Mexico border is predominantly Hispanic/Latino with a high poverty rate and very limited access to genetic services. Funded by the National Center for Advancing Translational Sciences, Project GIVE (Genetic Inclusion by Virtual Evaluation) was launched in 2022 to reduce the time to diagnosis and increase provider knowledge of genomics in this region, with the goal of …

Genomic Data Science Approaches For Understanding Human Diseases, Snehal Shah

All Dissertations

The intricate interplay of genetic predisposition, environmental influences, and lifestyle acts as the multifactorial landscape of diseases. Understanding this complexity presents a significant challenge. Molecular insights into disease mechanisms, particularly the interactions of DNA, RNA, and proteins with environmental and lifestyle factors, have revolutionized disease diagnosis, prognosis, and treatment. High-throughput technologies, such as next-generation sequencing, generate large amounts of molecular data, holding a wealth of knowledge. These datasets unveil the roles of genes and their interactions with various factors through analysis, shedding light on previously unknown molecular mechanisms underlying disease pathogenesis. Furthermore, they facilitate the discovery of biomarkers crucial for …

Characterizing A Complex Ct-Rich Haplotype In Intron 4 Of Snca Using Large-Scale Targeted Amplicon Long-Read Sequencing, Pilar Alvarez Jerez, Kensuke Daida, Francis P Grenn, Laksh Malik, Abigail Miano-Burkhardt, Mary B Makarious, Jinhui Ding, J Raphael Gibbs, Anni Moore, Xylena Reed, Mike A Nalls, Syed Shah, Medhat Mahmoud, Fritz J Sedlazeck, Egor Dolzhenko, Morgan Park, Hirotaka Iwaki, Bradford Casey, Mina Ryten, Cornelis Blauwendraat, Andrew B Singleton, Kimberley J Billingsley

Faculty, Staff and Students Publications

Parkinson's disease (PD) is a common neurodegenerative disorder with a significant risk proportion driven by genetics. While much progress has been made, most of the heritability remains unknown. This is in-part because previous genetic studies have focused on the contribution of single nucleotide variants. More complex forms of variation, such as structural variants and tandem repeats, are already associated with several synucleinopathies. However, because more sophisticated sequencing methods are usually required to detect these regions, little is understood regarding their contribution to PD. One example is a polymorphic CT-rich region in intron 4 of the SNCA gene. This haplotype has …

Webgestalt 2024: Faster Gene Set Analysis And New Support For Metabolomics And Multi-Omics, John M Elizarraras, Yuxing Liao, Zhiao Shi, Qian Zhu, Alexander R Pico, Bing Zhang

Faculty, Staff and Students Publications

Enrichment analysis, crucial for interpreting genomic, transcriptomic, and proteomic data, is expanding into metabolomics. Furthermore, there is a rising demand for integrated enrichment analysis that combines data from different studies and omics platforms, as seen in meta-analysis and multi-omics research. To address these growing needs, we have updated WebGestalt to include enrichment analysis capabilities for both metabolites and multiple input lists of analytes. We have also significantly increased analysis speed, revamped the user interface, and introduced new pathway visualizations to accommodate these updates. Notably, the adoption of a Rust backend reduced gene set enrichment analysis time by 95% from 270.64 …

A Harmonized Public Resource Of Deeply Sequenced Diverse Human Genomes, Zan Koenig, Mary T Yohannes, Lethukuthula L Nkambule, Xuefang Zhao, Julia K Goodrich, Heesu Ally Kim, Michael W Wilson, Grace Tiao, Stephanie P Hao, Nareh Sahakian, Katherine R Chao, Mark A Walker, Yunfei Lyu, Heidi L Rehm, Benjamin M Neale, Michael E Talkowski, Mark J Daly, Harrison Brand, Konrad J Karczewski, Elizabeth G Atkinson, Alicia R Martin

Faculty, Staff and Students Publications

Underrepresented populations are often excluded from genomic studies owing in part to a lack of resources supporting their analyses. The 1000 Genomes Project (1kGP) and Human Genome Diversity Project (HGDP), which have recently been sequenced to high coverage, are valuable genomic resources because of the global diversity they capture and their open data sharing policies. Here, we harmonized a high-quality set of 4094 whole genomes from 80 populations in the HGDP and 1kGP with data from the Genome Aggregation Database (gnomAD) and identified over 153 million high-quality SNVs, indels, and SVs. We performed a detailed ancestry analysis of this cohort, …

Isolation Of Gametophytic Selection And Selective Embryo Abortion In Mimulus Guttatus, Desmond C. Willson

University Honors Theses

A lack of genomic studies examining gametophytic selection (GS) and selective embryo abortion (SEA)--which occur during the reproduction of angiosperms--leaves questions regarding the adaptive and evolutionary effects of these processes. Analyzing deviations from Mendelian segregation offers an avenue for identifying loci targeted by GS and SEA, and their contributions to purging of genetic load. However, other selective processes such as meiotic drive and cytonuclear interactions, as well as pollen and ovule abortion, can cause distortion. To distinguish the effects of GS and SEA from other causes of distortion, we will perform reciprocal crosses between highly homozygous and highly heterozygous individuals …

Puberty Classifications In Beef Heifers Are Moderately To Highly Heritable And Associated With Candidate Genes Related To Cyclicity And Timing Of Puberty, Melanie K. Hess, Anteneh Mersha, Sadie S. Ference, Sarah R. Nafziger, Jessica A. Keane, Anna M. Fuller, Scott G. Kurz, Courtney M. Sutton, Matthew L. Spangler, Jessica Lynn Petersen, Andrea S. Cupp

Department of Animal Science: Faculty Publications

Introduction: Pubertal attainment is critical to reproductive longevity in heifers. Previously, four heifer pubertal classifications were identified according to attainment of blood plasma progesterone concentrations > 1 ng/ml: 1) Early; 2) Typical; 3) Start-Stop; and 4) Non-Cycling. Early and Typical heifers initiated and maintained cyclicity, Start-Stop started and then stopped cyclicity and Non- Cycling never initiated cyclicity. Start-Stop heifers segregated into Start-Stop- Discontinuous (SSD) or Start-Stop-Start (SSS), with SSD having similar phenotypes to Non-Cycling and SSS to Typical heifers. We hypothesized that these pubertal classifications are heritable, and loci associated with pubertal classifications could be identified by genome wide association …

Improving Access To Exome Sequencing In A Medically Underserved Population Through The Texome Project, Blake Vuocolo, Ryan J German, Seema R Lalani, Chaya N Murali, Carlos A Bacino, Stephanie Baskin, Rebecca Littlejohn, John D Odom, Scott Mclean, Carrie Schmid, Morgan Nutter, Melissa Stuebben, Emily Magness, Olivia Juarez, Dina El Achi, Bailey Mitchell, Kevin E Glinton, Laurie Robak, Sandesh C S Nagamani, Lisa Saba, Adasia Ritenour, Lilei Zhang, Haley Streff, Katie Chan, K Jordan Kemere, Kent Carter, Texome Project, Nichole Owen, Liesbeth Vossaert, Pengfei Liu, Hugo Bellen, Michael F Wangler

Faculty, Staff and Students Publications

PURPOSE: Genomic medicine can end diagnostic odysseys for patients with complex phenotypes; however, limitations in insurance coverage and other systemic barriers preclude individuals from accessing comprehensive genetics evaluation and testing.

METHODS: The Texome Project is a 4-year study that reduces barriers to genomic testing for individuals from underserved and underrepresented populations. Participants with undiagnosed, rare diseases who have financial barriers to obtaining exome sequencing (ES) clinically are enrolled in the Texome Project.

RESULTS: We highlight the Texome Project process and describe the outcomes of the first 60 ES results for study participants. Participants received a genetic evaluation, ES, and return …

Omani Camels From A Cultural And Genomics Perspective, Al Muatasim Al Zadjali

Electronic Theses and Dissertations

The Dromedarian camel, Camelus dromedarius, is native to the Arabian Peninsula, including the Sultanate of Oman. These camels are used for food, milk, as well as show and racing competitions. Despite their economic and cultural importance research on camels in Oman is limited. The goal of this study was to examine their genomic variation, relationship with camels in other parts of the Arabian Peninsula, and to determine if selective breeding has led to the establishment of distinct breeds in Oman. Information was compiled from multiple sources to produce a comprehensive review on the breeding, management, economic and cultural use, …

Phenome-Wide Identification Of Therapeutic Genetic Targets, Leveraging Knowledge Graphs, Graph Neural Networks, And Uk Biobank Data, Lawrence Middleton, Ioannis Melas, Chirag Vasavda, Arwa Raies, Benedek Rozemberczki, Ryan S Dhindsa, Justin S Dhindsa, Blake Weido, Quanli Wang, Andrew R Harper, Gavin Edwards, Slavé Petrovski, Dimitrios Vitsios

Faculty, Staff and Students Publications

The ongoing expansion of human genomic datasets propels therapeutic target identification; however, extracting gene-disease associations from gene annotations remains challenging. Here, we introduce Mantis-ML 2.0, a framework integrating AstraZeneca's Biological Insights Knowledge Graph and numerous tabular datasets, to assess gene-disease probabilities throughout the phenome. We use graph neural networks, capturing the graph's holistic structure, and train them on hundreds of balanced datasets via a robust semi-supervised learning framework to provide gene-disease probabilities across the human exome. Mantis-ML 2.0 incorporates natural language processing to automate disease-relevant feature selection for thousands of diseases. The enhanced models demonstrate a 6.9% average classification power …

Crossing The Ocean: The Importance Of Gene Flow In Island Evolution, Ethan F. Gyllenhaal

Biology ETDs

Islands have long been a critical arena for the development of ecological and evolutionary theory, particular due to persistent open-water gaps between them. In this dissertation I demonstrates how these caps are permeable, which can be leveraged to understand evolution on islands and more broadly. The first chapter develops this connection between ongoing, overwater gene flow and island biogeographic theory, and tests it on an archipelago species. The second take a three-pronged approach in demonstrating how over-water gene flow can bias phylogenetic inference, and how many phylogeographic metrics in islands are likely shaped by long-term gene flow. The final two …

Cis-Regulatory Mechanisms Through Stages Of Erythroid Regenration, Yichao Zhou

Theses & Dissertations

Produced by steady state erythropoiesis, erythrocytes serve as vital regulators of metabolism and life by delivering oxygen to all the cells and tissues. Under acute anemia, steady state erythropoiesis is not sufficient to produce enough erythrocytes, leading to distinct mechanisms needed to regenerate large numbers of mature erythrocytes rapidly. Erythroid regeneration occurs in four stages: activation, expansion and differentiation, resolution, and post-resolution, according to the dynamics of erythrocyte numbers and progenitor activity. Erythroid regeneration throughout this timeline requires some critical extracellular cues, but the intrinsic molecular mechanisms needed to accelerate and decelerate the activity of erythroid progenitors in anemia and …

De Novo Genome Assembly For The Coppery Titi Monkey (Plecturocebus Cupreus): An Emerging Nonhuman Primate Model For Behavioral Research, Susanne P Pfeifer, Alexander Baxter, Logan E Savidge, Fritz J Sedlazeck, Karen L Bales

Faculty, Staff and Students Publications

The coppery titi monkey (Plecturocebus cupreus) is an emerging nonhuman primate model system for behavioral and neurobiological research. At the same time, the almost entire absence of genomic resources for the species has hampered insights into the genetic underpinnings of the phenotypic traits of interest. To facilitate future genotype-to-phenotype studies, we here present a high-quality, fully annotated de novo genome assembly for the species with chromosome-length scaffolds spanning the autosomes and chromosome X (scaffold N50 = 130.8 Mb), constructed using data obtained from several orthologous short- and long-read sequencing and scaffolding techniques. With a base-level accuracy of ∼99.99% in chromosome-length …

Archaeal Diversity In The Anna's Hummingbird Microbiome, Lauren E. Chance

Honors Scholar Theses

The microbial communities that are present in and on vertebrates are collectively called the microbiome. The composition of a microbiome is dependent upon the host, the environment, and evolution. There has been extensive research on the bacterial composition of host-associated microbiomes, however, there has been much less work on the archaeal composition of host-associated microbiomes. Archaea have previously been assumed to primarily exist in extreme environments, but this may not be true and has been influenced by their generally low abundance and methodological difficulties in detection. It is possible they are consistent members of diverse host-associated microbiomes.

Archaea-specific PCR primers …

Exploring Genomic Convergence For Adaptations To Freezing Environments In Polar Fish, Ethan Talley

Biological Sciences Undergraduate Honors Theses

Convergent evolution provides valuable insights into how natural selection shapes species traits. Genomic analysis of lineages that display convergent traits has the potential to identify candidate genes for environmental adaptations across the scope of entire genomes. One remarkable example of convergent evolution is the independent development of antifreeze proteins (AFPs) in phylogenetically distant polar fish lineages. While AFPs themselves are relatively well studied, the full genomic context of adaptation to freezing conditions in these fish lineages remains largely unexplored. Leveraging the whole genome sequences previously assembled in our lab, along with other high-quality genomes available in GenBank, I examined the …

The Genomics Of Champ1: Insights Into Their Cell-Type Specificity And Developmental Trajectories, Zoe Marie Van Caugherty

MUSC Theses and Dissertations

Chromosome alignment maintaining phosphoprotein 1(CHAMP1) is a gene that encodes a zinc finger protein that is involved in in the maintenance of kinetochore-microtubule attachment and regulating chromosome segregation in mitosis. (Itoh et al., 2011) CHAMP1 mutations have been shown to be major risk factors for neurodevelopmental disorders (NDDs) and autism spectrum disorder (ASD).(Asakura et al., 2021; Isidor et al., 2016; Levy et al., 2022) Although there is information on the link between CHAMP1 mutations and NDD, the role of CHAMP1 in regulating processes of human cortical development, namely, neurogenesis, proliferation, and electrophysiological properties of newly born neurons, is unknown. This …

The Genome Of Huauzontle (Chenopodium Berlandieri), A North American Relative Of Quinoa, Ashley K. Marcheschi, Jeff Maughan, Peter J. Maughan, David E. Jarvis, Kate E. Jaggi, Eric N. Jellen

Library/Life Sciences Undergraduate Poster Competition 2024

Quinoa (Chenopodium quinoa) is a popular Andean seed crop that has a reduced ability to thrive outside of its native range. A related member of the Allotetraploid Goosefoot Complex (ATGC), pitseed goosefoot (Chenopodium berlandieri), is a minimally invasive North American weed that is able to survive in climates and environments that are restrictive to quinoa growth. C. berlandieri has been independently domesticated at least three times, including in Mesoamerica as the immature panicle vegetable ‘huauzontle.’ To assess the capacity of C. berlandieri as a genetic resource for improvement of C. quinoa, we sequenced the whole genome of a huauzontle accession …

Matrin3 Mediates Differentiation Through Stabilizing Chromatin Loop-Domain Interactions And Yy1 Mediated Enhancer-Promoter Interactions, Tianxin Liu, Qian Zhu, Yan Kai, Trevor Bingham, Stacy Wang, Hye Ji Cha, Stuti Mehta, Thorsten M Schlaeger, Guo-Cheng Yuan, Stuart H Orkin

Faculty, Staff and Students Publications

Although emerging evidence indicates that alterations in proteins within nuclear compartments elicit changes in chromosomal architecture and differentiation, the underlying mechanisms are not well understood. Here we investigate the direct role of the abundant nuclear complex protein Matrin3 (Matr3) in chromatin architecture and development in the context of myogenesis. Using an acute targeted protein degradation platform (dTAG-Matr3), we reveal the dynamics of development-related chromatin reorganization. High-throughput chromosome conformation capture (Hi-C) experiments revealed substantial chromatin loop rearrangements soon after Matr3 depletion. Notably, YY1 binding was detected, accompanied by the emergence of novel YY1-mediated enhancer-promoter loops, which occurred concurrently with changes in …

Integrative Genomic Analyses Reveal Putative Cell Type-Specific Targets Of The Drosophila Ets Transcription Factor Pointed, Komal Kumar Bollepogu Raja, Kelvin Yeung, Yoon-Kyung Shim, Graeme Mardon

Faculty, Staff and Students Publications

The Ets domain transcription factors direct diverse biological processes throughout all metazoans and are implicated in development as well as in tumor initiation, progression and metastasis. The Drosophila Ets transcription factor Pointed (Pnt) is the downstream effector of the Epidermal growth factor receptor (Egfr) pathway and is required for cell cycle progression, specification, and differentiation of most cell types in the larval eye disc. Despite its critical role in development, very few targets of Pnt have been reported previously. Here, we employed an integrated approach by combining genome-wide single cell and bulk data to identify putative cell type-specific Pnt targets. …

Enabling The Clinical Application Of Artificial Intelligence In Genomics: A Perspective Of The Amia Genomics And Translational Bioinformatics Workgroup, Nephi A Walton, Radha Nagarajan, Chen Wang, Murat Sincan, Robert R Freimuth, David B Everman, Derek C Walton, Scott P Mcgrath, Dominick J Lemas, Panayiotis V Benos, Alexander V Alekseyenko, Qianqian Song, Ece Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas Nate Person, Nadav Rappoport, Zhongming Zhao, Marc S Williams

Faculty, Staff and Student Publications

OBJECTIVE: Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.

PROCESS: A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members.

CONCLUSIONS: Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of …

Understanding The Origin Of Parthenogenesis Via Crossing And Crispr Gene Editing In Daphnia Pulex, Thinh Pham

Biology Dissertations - Archive

Daphnia has been used as a key model system for studying ecological changes, evolution, and genomics for the past few decades due to its rapid turnover time in reproduction. The organism possesses two fascinating modes of reproduction: obligate parthenogenesis and cyclical parthenogenesis. This dissertation delves into the intricate reproductive strategies of Daphnia pulex, focusing on hybrid F1s from different reproductive modes. The first aim is to investigate 31 hybrid F1s generated from obligate parthenogenesis (OP) and cyclical parthenogenesis (CP) parental lines. Transcriptomic analysis reveals misexpression patterns and regulatory divergences, highlighting meiosis-related genes like CDC6 as potential parthenogenesis regulators. The …

Multi-Cancer Early Detection Testing (Mced), Ora K Gordon, Brad Bott, Nanor Parseghian, Paul Psychogios, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Population Screening For High-Risk Patient Identification Partnership With Care-Comprehensive Assessment, Risk, And Education., Ora K Gordon, Brad Bott, Nanor Parseghian, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Data From: Phylogenomic Species Delimitation Of Studfishes (Fundulidae: Fundulus): Evidence For Cryptic Species In Agreement With The Central Highlands Vicariance Hypothesis, Kayla M. Fast, Peter J. Hundt, Zachariah D. Alley, Michael W. Sandel

CFR Publications

The Central Highlands ecoregion of the eastern United States represents a hotspot of freshwater biodiversity, with replicated patterns of vicariant speciation east and west of the Mississippi River. Previous phylogeographic investigation of the studfishes (Fundulus subgenus Fundulus) revealed evidence for vicariant speciation in the Central Highlands, but data were limited to a small number of gene sequences generated with Sanger sequencing. We used double digest restriction-site associated DNA sequencing (ddRADseq) to improve resolution of phylogeographic patterns and better characterize population genetic variation. Our sample design included individuals from the Fundulus catenatus species group (F. catenatus, F. bifax, …

The Influence Of Drd2 Polymorphism Exon 8 C/T (Rs6276) On Manifestations Of Delirium Tremens & Alcohol Withdrawal Seizures, Naomi Schneider

Honors Theses and Capstones

This study explores the correlation between the DRD2 Polymorphism exon 8 C/T (rs6276) and manifestations of delirium tremens (DT). DT is a condition that is clinically diagnosed utilizing two characteristic symptom manifestations: the presence of delirium and severe alcohol withdrawal. It is not entirely understood why DT can occur in some patients, but evidence has suggested that genetic predisposition can play a role. Utilizing the National Institutes of Health (NIH) All of Us Research database and performing a secondary analysis of existing genomic data, this candidate gene association study aims to determine the genotype frequencies within three cohorts: a healthy …

Integrative Machine Learning Approaches For Enhanced Classification Of Genomic Sequences: A Next-Generation Sequencing Perspective, Sujatha Alla, Nagesh Bheesetty, Sai Gireesh Komaragiri, Prasanthi Chidipudi, Joshit Mohanty, Sathish Kumar Chintala, Jubin Thomas, Jayapal Vummadi, Hemanth Volikatla, Navin Kamuni

Engineering Management & Systems Engineering Faculty Publications

The advent of Next-Generation Sequencing (NGS) techniques has revolutionized genomic research by enabling the rapid sequencing of DNA and RNA. This data can be used for various applications, including genome sequencing, transcriptome profiling, metagenomics, and epigenetics studies. For this study, DNA classifier dataset was extracted from UCI repository of machine learning databases. This vast amount of genomic data necessitates the development of sophisticated machine learning (ML) models for effective classification and analysis. This study presents a comprehensive comparison of various ML models, including Support Vector Machines (SVM), Random Forests (RF), and Neural Networks (NNs), approaches, in classifying genomic data. We …