Genomics Commons^™

Novel Algorithms For Ldd Motif Search, Peng Xiao, Martin Schiller, Sanguthevar Rajasekaran

Life Sciences Faculty Research

Background: Motifs are crucial patterns that have numerous applications including the identification of transcription factors and their binding sites, composite regulatory patterns, similarity between families of proteins, etc. Several motif models have been proposed in the literature. The (l,d)-motif model is one of these that has been studied widely. However, this model will sometimes report too many spurious motifs than expected. We interpret a motif as a biologically significant entity that is evolutionarily preserved within some distance. It may be highly improbable that the motif undergoes the same number of changes in each of the species. To address this issue, …

High-Performance Computing Frameworks For Large-Scale Genome Assembly, Sayan Goswami

LSU Doctoral Dissertations

Genome sequencing technology has witnessed tremendous progress in terms of throughput and cost per base pair, resulting in an explosion in the size of data. Typical de Bruijn graph-based assembly tools demand a lot of processing power and memory and cannot assemble big datasets unless running on a scaled-up server with terabytes of RAMs or scaled-out cluster with several dozens of nodes. In the first part of this work, we present a distributed next-generation sequence (NGS) assembler called Lazer, that achieves both scalability and memory efficiency by using partitioned de Bruijn graphs. By enhancing the memory-to-disk swapping and reducing the …

Beef Production Systems In The Nebraska Sandhills, Mckay Reed Erickson

Department of Animal Science: Dissertations, Theses, and Student Research

Four studies were conducted to determine the effectiveness of improving production systems of beef cattle in the Sandhills region of Nebraska. These studies were to determine impacts of modified estrus synchronization protocols, genomic testing heifer calves for longevity, and evaluation of 2 differing calving systems (March or May) for improving biological outcome and improved production. Experiment 1 utilized 180 yearling heifers to determine the effectiveness of a second dose of prostaglandin F_2α(PGF) with those females not expressing estrus after an initial 14 d MGA-PG estrus synchronization protocol. The treatment of PGF did increase estrus expression, but did not …

Mapping A New Disease Resistance Locus In An F1 Progeny Derived From Two Grape Wild Relatives, Gaurab Bhattarai

Graduate Theses/Dissertations

Linkage maps and quantitative trait loci (QTL) analysis have become essential tools for the positional cloning of agronomically important genes and for marker-assisted breeding. In this study, two North American grape species, Vitis rupestris and Vitis riparia, and their 294 F₁ progeny were used to construct parental linkage maps and to perform QTL analysis for downy mildew resistance. Single nucleotide polymorphism (SNP) discovery was accomplished using genotyping-by-sequencing (GBS) and resulted in 348,888 SNPs. Of these, 11,063 informative SNP markers (3.17% of the original SNP dataset) were derived after filtering for various quality parameters and missing data. A two-way …

Clinical Utility Of Exon Deletion/Duplication Microarray Testing - A Children’S Mercy Kansas City Two-Year Experience, Binu Porath

Research Days

No abstract provided.

Simplicity Diffexpress: A Bespoke Cloud-Based Interface For Rna-Seq Differential Expression Modeling And Analysis, Cintia C. Palu, Marcelo Ribeiro-Alves, Yanxin Wu, Brendan Lawlor, Pavel V. Baranov, Brian Kelly, Paul Walsh

Department of Computer Science Publications

One of the key challenges for transcriptomics-based research is not only the processing of large data but also modeling the complexity of features that are sources of variation across samples, which is required for an accurate statistical analysis. Therefore, our goal is to foster access for wet lab researchers to bioinformatics tools, in order to enhance their ability to explore biological aspects and validate hypotheses with robust analysis. In this context, user-friendly interfaces can enable researchers to apply computational biology methods without requiring bioinformatics expertise. Such bespoke platforms can improve the quality of the findings by allowing the researcher to …

A Discrepancy Between The Human Reference Genome (Grch37) And Transcriptome (Refseq) Results In The Incorrect Annotation Of A Clinically-Relevant Sequence Variant In Recql4, Lisa A. Lansdon

Research Days

No abstract provided.

Crispr/Cas9 Driven Eradication Of Hiv-1 In Infected Human Genome, Sydney Loechler

Senior Seminars and Capstones

Once infected with HIV-1, the host immune system is incapable of ridding itself of the virus. HIV-1 uses latent viral reservoirs (LR) within CD4+ T cells to replicate. Within these reservoirs, HIV-1 is able to go into a latent state where it cannot be detected by the host's immune system or current HIV-1 treatments. By utilizing viewing assays and CRISPR-Cas9, there may be a possibility to identify, isolate, and then cut out HIV-1 from an infected cell. Two possible viewing assays have been proposed and studied in recent research. PCR assays are quicker and easier to administer while viral outgrowth …

Root Hair Single Cell Type Specific Profiles Of Gene Expression And Alternative Polyadenylation Under Cadmium Stress, Jingyi Cao, Congting Ye, Guijie Hao, Carole Dabney-Smith, Arthur G. Hunt, Qingshun Q. Li

Plant and Soil Sciences Faculty Publications

Transcriptional networks are tightly controlled in plant development and stress responses. Alternative polyadenylation (APA) has been found to regulate gene expression under abiotic stress by increasing the heterogeneity at mRNA 3′-ends. Heavy metals like cadmium pollute water and soil due to mining and industry applications. Understanding how plants cope with heavy metal stress remains an interesting question. The Arabidopsis root hair was chosen as a single cell model to investigate the functional role of APA in cadmium stress response. Primary root growth inhibition and defective root hair morphotypes were observed. Poly(A) tag (PAT) libraries from single cell types, i.e., root …

Identification Of Genes Involved In Iron Metabolism In Rhizobium Leguminosarum Atcc 14479 Genome Through The Use Of In-Silico Analysis, Shuaib A. Siddiqui

Undergraduate Honors Theses

The complete genomic sequence of Rhizobium leguminosarum ATCC 14479 has been determined. Its genome size is 7,935,223 base-pairs of DNA (bp). This multipartite genome contains 5 distinct replicons: a chromosome of 4,883,137 bp and four mega-plasmids of size 1,234,209 bp, 415,988 bp, 771,583 bp, and 630,306 bp. In silico (literally: on computer) analysis was done on the complete genome to detect genes relating to iron metabolism by bacteria. Seven iron-related operons and genes were found: nodulation genes, the Tol operon, the hmuPSTUV operon, iron response regulator genes, the cycHJKL operon, genes for bacterial cyclic glucans, and vicibactin genes.

Community Oncology Clinicians’ Knowledge, Beliefs, And Attitudes Regarding Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Kimberly Murray, Hayley Mandeville, Caitlin Gutheil, Leo Waterston, Lee Lucas, Christine Duarte, Christian Thomas, Susan Miesfeldt, Petra Helbig, Andrey Antov, Jens Rueter, Paul Han

MaineHealth Maine Medical Center

Introduction: Genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise. However, little is known about clinicians’ knowledge, beliefs, and attitudes regarding GTT, particularly in community oncology settings.

The Relationship Between Uncertainty Tolerance And Oncologists’ Perceptions Of Large-Panel Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Christine Lary, Kimberly Murray, Leo Waterson, Paul Han, Maine Cancer Genomics Initiative

MaineHealth Maine Medical Center

Introduction:

Large-panel genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise, but that currently poses many uncertainties regarding its clinical value and appropriate use. Uncertainty Tolerance (UT), a psychological construct that describes trait-level differences in individuals’ responses to uncertainty, may influence oncologists’ perceptions and attitudes regarding GTT.

Physician-Patient Communication About Genomic Tumor Testing: Perceptions Of Oncology Providers, Hayley Mandeville, Eric Anderson, Kimberly Murray, Caitlin Gutheil, Leo Waterston, Lee Lucas, Christine Duarte, Christian Thomas, Susan Miesfeldt, Petra Helbig, Andrey Antov, Jens Rueter, Paul Han

MaineHealth Maine Medical Center

Background:

• Genomic tumor testing (GTT) is a new technology and a cornerstone of the “precision medicine” movement in cancer care.

• GTT uses next-generation genome sequencing technology to identify somatic variants in tumor cells.

• By identifying somatic variants that predict responses to cancer therapies, GTT can help tailor therapy to individual patients, making them more effective.

• However, due to the fact that GTT also detects many variants of uncertain significance, its clinical value is currently unproven.

• When using GTT, physicians counsel patients about both its benefits and its limitations, but the ideal goals and content of …

Developing Technologically Advanced Research In Low- And Middle-Income Countries, Isa Abdulkadir, Tina Slusher, Fidelia Bode-Thomas, Sean Riordan, Jean-Baptiste Lepichon, Laila Hassan, Shehu Abdullahi, Akinyemi Ofakunrin, Stephen Oguche, Steven Shapiro, William Ogala

Posters

This poster presents a collaboration between a group of scientists in Nigeria and the USA in developing a genomic research project and the solutions adopted in tackling the ethical implications and partnership equity and ownership of such a project.

Improved Draft Genome Sequence Of Bacillus Sp. Strain Yf23, Which Has Plant Growth-Promoting Activity, Ye Xia, Seth Debolt, Qin Ma, Adam Mcdermaid, Cankun Wang, Nicole Shapiro, Tanja Woyke, Nikos C. Kyrpides

Horticulture Faculty Publications

We report here the improved draft genome sequence of Bacillus sp. strain YF23, a bacterium originally isolated from switchgrass (Panicum virgatum) plants and shown to exhibit plant growth-promoting activity. The genome comprised 5.82 Mbp, containing 5,933 genes, with 193 as RNA genes, and a GC content of 35.10%.

Co-Occurrence Of Manganese Oxidase Genes Indicates Lateral Transfer Between Classes Of Proteobacteria, Jacob Olichney

Student Scholar Showcase

Pseudomonas putida GB-1 is a model organism for the study of manganese oxidation in bacteria, however, the frequency of co-localization of multiple known and suspected manganese oxidizing proteins, as well as their occurrence between species, is unknown. Eight different genes isolated from known manganese oxidizing bacteria (MnxG, MopA, McoA, PputGB1_2552, PputGB1_2553, MoxA, MofA, and Bacillus MnxG) were tested individually using BioPython and BLAST (Basic Local Alignment Search Tool) on multiple genomic databases. BLAST searches had an expect value cutoff of 1e-50, limiting gene homologs to those with high sequence similarity. The abundance of homologous genes across classes of proteobacteria point …

Plant Mitochondrial Genome Evolution And Structure Has Been Shaped By Double-Strand Break Repair And Recombination, Emily Wynn

School of Biological Sciences: Dissertations, Theses, and Student Research

Plant mitochondrial genomes are large but contain a small number of genes. These genes have very low mutation rates, but genomes rearrange and expand at significant rates. We propose that much of the apparent complexity of plant mitochondrial genomes can be explained by the interactions of double-strand break repair, recombination, and selection. One possible explanation for the disparity between the low mutation rates of genes and the high divergence of non-genes is that synonymous mutations in genes are not truly neutral. In some species, rps14 has been duplicated in the nucleus, allowing the mitochondrial copy to become a pseudogene. By …

Genomics Based Approaches To Fungal Evolution, Aaron J. Robinson, Donald O. Natvig

Biology ETDs

Advances in DNA sequencing and data analysis make it possible to address questions in population genetics and evolution at the genomic level. Fungi are excellent subjects for such studies, because they are found in diverse environments, have short generation times, can be maintained in culture and have relatively small genomes. My research employed genetic approaches using a variety of sequencing technologies and methods of analysis to explore questions in fungal evolution.

In one study, I explored the genetics behind differences in thermotolerance between isolates of Neurospora discreta from Alaska and New Mexico. Isolates from the two states exhibited differences in …

Unified Methods For Feature Selection In Large-Scale Genomic Studies With Censored Survival Outcomes, Lauren Spirko-Burns, Karthik Devarajan

COBRA Preprint Series

One of the major goals in large-scale genomic studies is to identify genes with a prognostic impact on time-to-event outcomes which provide insight into the disease's process. With rapid developments in high-throughput genomic technologies in the past two decades, the scientific community is able to monitor the expression levels of tens of thousands of genes and proteins resulting in enormous data sets where the number of genomic features is far greater than the number of subjects. Methods based on univariate Cox regression are often used to select genomic features related to survival outcome; however, the Cox model assumes proportional hazards …

Supervised Dimension Reduction For Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards, Lauren Spirko-Burns, Karthik Devarajan

COBRA Preprint Series

The past two decades have witnessed significant advances in high-throughput ``omics" technologies such as genomics, proteomics, metabolomics, transcriptomics and radiomics. These technologies have enabled simultaneous measurement of the expression levels of tens of thousands of features from individual patient samples and have generated enormous amounts of data that require analysis and interpretation. One specific area of interest has been in studying the relationship between these features and patient outcomes, such as overall and recurrence-free survival, with the goal of developing a predictive ``omics" profile. Large-scale studies often suffer from the presence of a large fraction of censored observations and potential …