Applying Computational Solutions For Solving Problems In Mammalian Gene Family Evolution And Single Cell Gene Expression Analysis, Ajay Obla

Doctoral Dissertations

Archival abstract submitted

Focus: A Graph Approach For Data-Mining And Domain-Specific Assembly Of Next Generation Sequencing Data, Julia Sommer

Theses & Dissertations

Next Generation Sequencing (NGS) has emerged as a key technology leading to revolutionary breakthroughs in numerous biomedical research areas. These technologies produce millions to billions of short DNA reads that represent a small fraction of the original target DNA sequence. These short reads contain little information individually but are produced at a high coverage of the original sequence such that many reads overlap. Overlap relationships allow for the reads to be linearly ordered and merged by computational programs called assemblers into long stretches of contiguous sequence called contigs that can be used for research applications. Although the assembly of the …

Identification Of Prognostic Cancer Biomarkers Through The Application Of Rna-Seq Technologies And Bioinformatics, Nathan Wong

McKelvey School of Engineering Theses & Dissertations

MicroRNAs (miRNAs) are short single-stranded RNAs that function as the guide sequence of the post-transcriptional regulatory process known as the RNA-induced silencing complex (RISC), which targets mRNA sequences for degradation through complementary binding to the guide miRNA. Changes in miRNA expression have been reported as correlated with numerous biological processes, including embryonic development, cellular differentiation, and disease manifestation. In the latter case, dysregulation has been observed in response to infection by human papillomavirus (HPV), which has also been established as both oncogenic in cervical cancers and oropharyngeal cancers and favorable for overall patient survival after tumor formation. The identification of …

Ifpa Meeting 2016 Workshop Report I: Genomic Communication, Bioinformatics, Trophoblast Biology And Transport Systems, Christiane Albrecht, Julie C. Baker, Cassidy Blundell, Shawn L. Chavez, Lucia Carbone, Larry Chamley, Roberta L. Hannibal, Nick Illsley

Paediatrics Publications

Workshops are an important part of the IFPA annual meeting as they allow for discussion of specialized topics. At IFPA meeting 2016 there were twelve themed workshops, four of which are summarized in this report. These workshops covered innovative technologies applied to new and traditional areas of placental research: 1) genomic communication; 2) bioinformatics; 3) trophoblast biology and pathology; 4) placental transport systems.

Fungi Of Forests: Examining The Diversity Of Root-Associated Fungi And Their Responses To Acid Deposition, Donald Jay Nelsen

Graduate Theses and Dissertations

Global importance of forests is difficult to overestimate, given their role in oxygen production, ecological roles in nutrient cycling and supporting numerous living species, and economic value for industry and as recreational zones. Fitness of the forest-forming trees strongly depends on microbial communities associated with tree roots. In particular, fungi impact tree fitness: mycorrhizal species provide water and nutrients for the trees in exchange for C, endophytic fungi play key roles in host defense against pathogenic organisms, and saprotrophic fungi decompose dead organic matter and facilitate nutrient cycling. In addition, pathogenic fungal species strongly affect forest fitness. Despite their importance, …

Computational Identification Of Noncoding Driver Mutations Based On Impact On Rna Processing, Kevin Zhu

Dissertations & Theses (Open Access)

Despite the prevalence of mutations in the noncoding regions of the DNA, their effects on cancer development remain largely uninvestigated. This is especially evident when compared to coding mutations, which have been relatively well-studied and, in certain cases, been identified as driver mutations for cancer. Recent studies, however, have identified noncoding mutations that frequently appear in certain types of cancer, which may be evidence that those mutations are important to cancer development. Nonetheless, the role of noncoding mutations in cancer remains unclear. A potential vector for understanding this mechanism is through observing the relation between noncoding mutations and functional RNA …

Software For Sequence Analysis Of Variants In Functional Screening Libraries And Personalized Genome Files, Jacklyn Michelle Newsome

UNLV Theses, Dissertations, Professional Papers, and Capstones

Detailed knowledge of protein function is critical for both the study of protein interactions and the development of drugs which target specific proteins. Currently, there are few techniques that directly examine protein function. The techniques that are available are time consuming and can only address one variant of a protein at a time. Our laboratory has designed 3 high throughput protein function screens. We hypothesize that these will address this shortfall.

The first screen is the Chimeric Minimotif Decoy (CMD) Assay. For this screen, we constructed red fluorescent proteins with one or more C-terminal minimotifs. Minimotifs are short, contiguous amino …

Bioinformatic And Biophysical Analyses Of Proteins, Jonathan Catazaro

Department of Chemistry: Dissertations, Theses, and Student Research

The prevailing dogma in structural genomics is the existence of a strong correlation between protein sequence, structure, and biological function. Proteins with high sequence similarity typically have a similar, if not the same, structure and function. In many cases this logic can fail due to distantly related proteins having very low sequence similarity, a lack of a representative structure, structural novelty, or the absence of a characterized function. Further, the paradigm fails to account for dynamics, which have a significant effect on structural stability and enzymatic efficacy.

Nuclear magnetic resonance (NMR) spectroscopy is uniquely capable of solving the structure, assisting …

Error Correction And De Novo Genome Assembly Of Dna Sequencing Data, Michael Z. Molnar

Electronic Thesis and Dissertation Repository

The ability to obtain the genetic code of any species has caused a revolution in biological sciences. Current technologies are capable of sequencing short pieces of DNA with very high quality. These short pieces of DNA determint the sequence of bases in the genome of any species. This information is key in understanding many of the aspects of how life functions.

The accuracy of sequencing is extremely important since the differences between individuals of the same species are caused by very few changes. All sequencing technologies make errors, and before the data can be used for downstream applications it is …

Biased Genetic Screen Identifies Novel Genes Involved In Antiviral Defense, Tianyun Long

LSU Doctoral Dissertations

ABSTRACT

RNA interference (RNAi) mediates potent antiviral response across kingdoms. In Caenorhabditis elegans nematodes, antiviral RNAi requires a virus sensor that is conserved in mammals and is amplified by secondary small interfering RNAs that are produced in a Dicer-independent manner.

To better understand worm antiviral RNAi, I carried out a biased genetic screen, aiming to identify novel antiviral RNAi genes. To speed up the gene discovery process, the reporter worms used for this genetic screen were engineered to contain extra copies of 4 known antiviral RNAi genes. Therefore, genetic alleles derived from these 4 genes will be automatically rejected during …

A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulous, Konstantin Läufer, George K. Thiruvathukal, Catherine Putonti

Konstantin Läufer

As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 …

A Polyglot Approach To Bioinformatics Data Integration: Phylogenetic Analysis Of Hiv-1, Steven Reisman, Catherine Putonti, George K. Thiruvathukal, Konstantin Läufer

Konstantin Läufer

RNA-interference has potential therapeutic use against HIV-1 by targeting highly-functional mRNA sequences that contribute to the virulence of the virus. Empirical work has shown that within cell lines, all of the HIV-1 genes are affected by RNAi-induced gene silencing. While promising, inherent in this treatment is the fact that RNAi sequences must be highly specific. HIV, however, mutates rapidly, leading to the evolution of viral escape mutants. In fact, such strains are under strong selection to include mutations within the targeted region, evading the RNAi therapy and thus increasing the virus’ fitness in the host. Taking a phylogenetic approach, we …

Sequence Extension Of The Tryptophan And Shikimate Operons In Clostridium Scatologenes Atcc 25775, Shawn Johnston Smiley

Masters Theses & Specialist Projects

3-Methylindole and 4-methylphenol are cytotoxic and malodorant compounds derived from tryptophan and tyrosine, respectively. Each is present in swine waste lagoons and contributes to malodorous emissions from agricultural facilities. Clostridium scatologenes ATCC 25775 produces both compounds and serves as a model organism to study their metabolism and function. Through the repeated assembly and annotation of the Clostridium scatologenes genome, we propose a novel pathway for tryptophan degradation and 3-methylindole production by this organism. The genome of Clostridium scatologenes was sequenced, and re-assembled into contigs. Key elements of the tryptophan and shikimate pathways were identified. Contigs containing these elements were extracted …

A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulous, Konstantin Läufer, George K. Thiruvathukal, Catherine Putonti

Catherine Putonti

As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 …

A Polyglot Approach To Bioinformatics Data Integration: Phylogenetic Analysis Of Hiv-1, Steven Reisman, Catherine Putonti, George K. Thiruvathukal, Konstantin Läufer

Catherine Putonti

RNA-interference has potential therapeutic use against HIV-1 by targeting highly-functional mRNA sequences that contribute to the virulence of the virus. Empirical work has shown that within cell lines, all of the HIV-1 genes are affected by RNAi-induced gene silencing. While promising, inherent in this treatment is the fact that RNAi sequences must be highly specific. HIV, however, mutates rapidly, leading to the evolution of viral escape mutants. In fact, such strains are under strong selection to include mutations within the targeted region, evading the RNAi therapy and thus increasing the virus’ fitness in the host. Taking a phylogenetic approach, we …

Bioinformatics And Next Generation Sequencing: Applications Of Arthropod Genomes, Zaichao Zhang

Electronic Thesis and Dissertation Repository

Over the past decade, the Next Generation Sequencing (NGS) technology has been broadly applied in many areas such as genomics, medical diagnosis, biotechnology, virology, biological systematics, forensic biology, and anthropology. Taken together, it has offered us brilliant insights into life sciences. Most of the work presented in this thesis describes NGS applications on genome assembly, genome annotation, and comparative genomics, using arthropods as case studies: (1) by sequencing and analyzing the genomes of three Tetranychus spider mites with three completely different feeding behaviors, we uncovered genomic signature variations and indicative of pest adaptations; (2) we sequenced, assembled and annotated five …

Machine Learning Based Protein Sequence To (Un)Structure Mapping And Interaction Prediction, Sumaiya Iqbal

University of New Orleans Theses and Dissertations

Proteins are the fundamental macromolecules within a cell that carry out most of the biological functions. The computational study of protein structure and its functions, using machine learning and data analytics, is elemental in advancing the life-science research due to the fast-growing biological data and the extensive complexities involved in their analyses towards discovering meaningful insights. Mapping of protein’s primary sequence is not only limited to its structure, we extend that to its disordered component known as Intrinsically Disordered Proteins or Regions in proteins (IDPs/IDRs), and hence the involved dynamics, which help us explain complex interaction within a cell that …

Computational Interrogation Of Transcriptional And Post-Transcriptional Mechanisms Regulating Dendritic Development, Surajit Bhattacharya

Biology Dissertations

The specification and modulation of cell-type specific dendritic morphologies plays a pivotal role in nervous system development, connectivity, structural plasticity, and function. Regulation of gene expression is controlled by a wide variety of cellular and molecular mechanisms, of which two major types are transcription factors (TFs) and microRNAs (miRNAs). In Drosophila, dendritic complexity of dendritic arborization (da) sensory neurons of the peripheral nervous system are known to be regulated by two transcription factors Cut and Knot, although much remains unknown about the molecular mechanisms and regulatory networks via which they regulate the final arbor shape through spatio-temporal modulation of …

Histone Modification Chip-Seq Algorithm Engineering And High Performance Bioinformatics Graphics And Analysis Software For Computational Epigenetics, Bohdan Bohdanovich Khomtchouk

Open Access Dissertations

Novel algorithm design, implementation, and optimization in histone modification ChIP-seq analysis of broad chromatin mark data is the subject of part I of this dissertation, focusing on data-driven precision medicine computational strategies for mapping ChIP-seq peaks to genomic features (and biological function) as well as coverage island analysis of low-sample size ChIP-seq experiments within individual biological replicates. Part II of this dissertation focuses on novel algorithm design, implementation, and analysis of high performance visualization techniques for histone modification ChIP-seq data using static and interactive biological gene expression heatmaps.

An Integrated Bioinformatic/Experimental Approach For Discovering Novel Type Ii Polyketides Encoded In Actinobacterial Genomes, Wubin Gao

Chemistry and Chemical Biology ETDs

Discovery of new natural products (NPs) is critical both for diseases treatment and crops protection. Numerous NP biosynthetic gene clusters (BGCs) in sequenced microbial genomes allow identification of new NPs through genome mining. Developing an integrated bioinformatic/experimental approach for discovering novel type II polyketides (PK-IIs) facilitates investigation of this family of NPs in an efficient, systematic way. Here, we developed an approach to analyze ketosynthase α/β (KSα/β) gene sequences to predict PK-II core structures, allowing us to target novel PK-II BGCs either from isolated genomic DNA or genomes from the NCBI databank, and to isolate novel PK-IIs produced by these …

Bio-Docklets: Virtualization Containers For Single-Step Execution Of Ngs Pipelines, Baekdoo Kim, Thahmina Ali, Carlos Lijeron, Enis Afgan, Konstantinos Krampis

Publications and Research

Processing of next-generation sequencing (NGS) data requires significant technical skills, involving installation, configuration, and execution of bioinformatics data pipelines, in addition to specialized postanalysis visualization and data mining software. In order to address some of these challenges, developers have leveraged virtualization containers toward seamless deployment of preconfigured bioinformatics software and pipelines on any computational platform. We present an approach for abstracting the complex data operations of multistep, bioinformatics pipelines for NGS data analysis. As examples, we have deployed 2 pipelines for RNA sequencing and chromatin immunoprecipitation sequencing, preconfigured within Docker virtualization containers we call Bio-Docklets. Each Bio-Docklet exposes a single …

An Approach To Identify Mycobacteriophage Diversity Prior To Dna Sequencing, Charles Gregory

Mahurin Honors College Capstone Experience/Thesis Projects

Over 6,869 Mycobacteriophages have been isolated and purified. Of these, 1,367 genomes have been sequenced at the DNA level and more are added each year through the SEA-PHAGES program. Sequenced mycobacteriophages are grouped into clusters based on a 50% or greater nucleotide identity. The number and breadth of these clusters represents the diversity present in the environment. Each year, as new phages are discovered by students in the SEA-PHAGES program, the question arises, “Which isolates should we sequence?” In order to sequence phages that represent the greatest possible diversity, and thus broaden under-represented clusters and identify new singletons, we need …

The Population Genomics Of Human Microrna Gene Copy Number Variation, Julianne Murphy

Biology

Copy number variation (CNV) is a class of small structural variation defined as loci that vary in their number of copies between individuals due to duplication or deletion. CNV is pervasive in the human genome and can influence phenotype. However, little is known about CNV of genes encoding regulatory microRNAs (miRNAs). We developed a computational method based on variation in read depth to estimate miRNA copy number. This approach was used to quantify the copy number of 1,805 miRNA loci across 161 Yoruban (YRI) and European (CEU) genomes. The vast majority of autosomal miRNA encoding genes were present at a …

Using Bioinformatics To Increase The Number Of Tumors That Can Be Treated With Existing Drug Treatments, Jonathan Dayton, Stephen Piccolo

Journal of Undergraduate Research

Typically, tens or even hundreds of mutations are observed in the DNA of a single tumor by the time it has been detected1-4. Knowledge of these mutations may be useful in guiding the way the tumor is treated. In some cases, if a tumor has a mutation in a certain gene, this may indicate that the tumor can be treated with a certain drug. For example, the drug Trastuzumab is a targeted therapy for breast cancer patients with mutations in the HER2 gene5. In other cases, a mutation may be able to be targeted by a drug even if the …

Population Genetics Of Freshwater Pearl Mussel (Margaritifera Margaritifera) In Central Massachusetts And Implications For Conservation, Stefanie Farrington

Biology

The freshwater pearl mussel Margaritifera margaritifera is an ecologically-important globally-endangered species, yet little is known about biodiversity and population genetics in North American populations. We focused our study on M. margaritifera from central and eastern Massachusetts, USA, to better understand the historical impact of damming and habitat fragmentation on local population structure and genetic diversity. In order to examine the local population genetics of M. margaritifera, we generated ~300 informative single nucleotide polymorphisms (SNPs) from 59 individuals across 6 geographic locations, using the RAD-seq approach. We also gleaned genotypes from publicly available RNA-seq data of 23 French M. margaritifera samples. …

Population Genomics Reveals Loss Of Odorant Receptor Gene Repertoire During Polar Bear (Ursus Maritimus) Evolution, Natalya Katerina Specian

Biology

The polar bear (Ursus maritimus) and brown bear ( Ursus arctos) are a recently diverged species pair but are morphologically, behaviorally, and physiologically distinct. These phenotypic differences reflect adaptation to local environments. Previous research aimed to identify the genetic underpinnings of adaptive traits focused mainly on single nucleotide polymorphisms (SNPs), while ignoring copy number variation (CNV). CNV refers to loci that vary in their number of copies between individuals due to duplication or deletion. Here, we computationally predicted whole genome copy number profiles across 17 polar bear and 9 brown bear genomes using FREEC. We identified hundreds of genes overlapping …

Cross-Talk Between Clinical And Host-Response Parameters Of Periodontitis In Smokers, Radha Nagarajan, Craig S. Miller, Dolph R. Dawson Iii, Mohanad Al-Sabbagh, Jeffrey L. Ebersole

Institute for Biomedical Informatics Faculty Publications

Background and Objective

Periodontal diseases are a major public health concern leading to tooth loss and have also been shown to be associated with several chronic systemic diseases. Smoking is a major risk factor for the development of numerous systemic diseases, as well as periodontitis. While it is clear that smokers have a significantly enhanced risk for developing periodontitis leading to tooth loss, the population varies regarding susceptibility to disease associated with smoking. This investigation focused on identifying differences in four broad sets of variables, consisting of: (i) host‐response molecules; (ii) periodontal clinical parameters; (iii) antibody responses to periodontal pathogens …

Predicting Pancreatic Cancer Using Support Vector Machine, Akshay Bodkhe

Master's Projects

This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and clinical data. We have used real genomic data having 22,763 samples and 154 features per sample. We have also created Synthetic Clinical data having 400 samples and 7 features per sample in order to predict accuracy of just clinical data. To validate the hypothesis, we have combined synthetic clinical data with subset of features from real genomic data. In our results, we observed that …

A Novel Bioinformatic Approach To Understanding Addiction, Latifa F. Jackson

Journal of Family Strengths

Finding the genetic markers that influence complex, multigenic substance addiction phenotypes has been an area of significant medical study. Understanding complex disease traits like addiction has been hampered by the lack of functional insights into novel variants to the human genome. We hypothesized that gene location plays a role in functional genomic neighborhoods.

To test whether there is a relationship between opiate, dopamine, and GABA disease and population allele frequencies, we used genes obtained from addiction literature curated by the National Center for Biotechnology Information (NCBI). These addiction and metabolism focused search terms generated opiate, dopamine, and GABA addiction results …

Utilization Of Phylogenetic Analysis Methods To Understand Deep Phylogeny, Jeffrey M. O'Brien

Master's Theses

This thesis describes two analyses conducted to learn more about the early evolution of life and characteristics of the last universal common ancestor (LUCA). In chapter one, tree metric analysis methods were employed to determine if protein families identified in a previous analysis should be attributed to LUCA. It was found that many of the protein families identified by the previous analysis were likely the result of methodological errors, and either should not be attributed to LUCA or do not represent the full scope of diversity within the given protein family. Chapter two presents data from an ATP synthase catalytic …