Life Sciences Commons^™

Investigation Of Microbe And Host Tissue Interactions Contributing To The Pathogenesis Of Colorectal Cancer, Ryan Chapman, Dhundy Bastola

Theses/Capstones/Creative Projects

Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide. The pathogenesis of this disease can fall under broad categories; however, the specific precursory mechanism of CRC pathogenesis is still unknown. Dysregulations of the gut microbiome have been identified in the CRC tissue environment. Additionally, CRC tissue gene expression has been observed to differ from that of healthy tissue. Despite these noticeable changes, few studies have directly compared the microorganism composition to the gene expression of CRC tissue. Doing so may identify whether the differentially abundant microorganisms influence the changes in gene expression. The goal of this …

Graph Mining For Next Generation Sequencing: Leveraging The Assembly Graph For Biological Insights, Julia Warnke-Sommer, Hesham Ali

Computer Science Faculty Publications

Background: The assembly of Next Generation Sequencing (NGS) reads remains a challenging task. This is especially true for the assembly of metagenomics data that originate from environmental samples potentially containing hundreds to thousands of unique species. The principle objective of current assembly tools is to assemble NGS reads into contiguous stretches of sequence called contigs while maximizing for both accuracy and contig length. The end goal of this process is to produce longer contigs with the major focus being on assembly only. Sequence read assembly is an aggregative process, during which read overlap relationship information is lost as reads are …

Estimating Bacterial Diversity In Scirtothrips Dorsalis (Thysanoptera: Thripidae) Via Next Generation Sequencing, Aaron M. Dickey, Andrew J. Trease, Antonella Jara-Cavieres, Vivek Kumar, Matthew K. Christenson, Lakshmi-Prasad Potluri, J. Kent Morgan, Robert G. Shatters Jr., Cindy L. Mckenzie, Paul H. Davis, Lance S. Osborne

Biology Faculty Publications

The last 2 decades have produced a better understanding of insect-microbial associations and yielded some important opportunities for insect control. However, most of our knowledge comes from model systems. Thrips (Thysanoptera: Thripidae) have been understudied despite their global importance as invasive species, plant pests and disease vectors. Using a culture and primer independent next-generation sequencing and metagenomics pipeline, we surveyed the bacteria of the globally important pest, Scirtothrips dorsalis Hood. The most abundant bacterial phyla identified were Actinobacteria and Proteobacteria and the most abundant genera were Propionibacterium, Stenotrophomonas, and Pseudomonas. A total of 189 genera of bacteria were identified. The …

An Efficient And Scalable Graph Modeling Approach For Capturing Information At Different Levels In Next Generation Sequencing Reads, Julia Warnke, Hesham Ali

Information Systems and Quantitative Analysis Faculty Publications

Background: Next generation sequencing technologies have greatly advanced many research areas of the biomedical sciences through their capability to generate massive amounts of genetic information at unprecedented rates. The advent of next generation sequencing has led to the development of numerous computational tools to analyze and assemble the millions to billions of short sequencing reads produced by these technologies. While these tools filled an important gap, current approaches for storing, processing, and analyzing short read datasets generally have remained simple and lack the complexity needed to efficiently model the produced reads and assemble them correctly.

Results: Previously, we presented an …