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Genetic variation, population structure, and genome assembly of the threatened Neosho madtom catfish

The Neosho madtom (Noturus placidus) is a small catfish, generally less than 3 inches in length, unique to the Neosho-Spring River system within the Arkansas River Basin. It was federally listed as threatened in 1990, largely due to habitat loss. As part of conservation efforts, we generated whole genome Illumina paired-end sequence data from ten

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MUII Comprehensive Exam – Awatef Ben Ramadan

Steps in Transforming the Missouri Cancer Registry (MCR) from an Incidence Registry to a Survival Registry The Problem: Breast cancer is the most common invasive cancer among women of all races and ethnicities in the United States (US). About 12 percent of women will be diagnosed with breast cancer in one stage of their lives

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MUII Comprehensive Exam Announcement – Lynsey Whitacre

De novo assembly and comparison of whole genome consensus sequences for nine breeds of beef cattle With the recent rise in re-sequencing efforts fueled by next-generation short read sequencing technologies, we have lost sight of the overarching goal of trying to understand what functions a genetic variant has at the molecular level, which is one

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Quantification of selective constraint in the polyploid genomes of Arabidopsis thaliana and Brassica rapa

Polyploidy is an important mechanism in plant evolution. We are interested in studying how selective pressures change after a lineage experiences whole genome duplication (WGD) or triplication (WGT). Alpha duplication is the most recent WGD event in Arabidopsis. Then a WGT event occurred in genus Brassica when they diverged from Arabidopsis thaliana. We examined selection

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Identifying Patients at Risk of High Healthcare Utilization

Objective: To develop a systematic and reproducible way to identify patients at increased risk for higher healthcare costs. Methods: Medical records were analyzed for 9,581 adults who were primary care patients in the University of Missouri Health System and who were enrolled in Medicare or Medicaid. Patients were categorized into one of four risk tiers

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A Metagenomic Analysis of the Effect of Residual Feed Intake on Rumen Metabolism

Ruminant animals have a symbiotic relationship with gastrointestinal microorganisms in the rumen where microbes degrade compounds that can be used in the host animal’s metabolism. Currently, changes in the diet or feed efficiency of the sheep results in differences to the rumen’s microbiota population. By using a metabolic approach, the effects of differing residual feed

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Big Data Colloquium Distinguished Speaker – Dr. Jianjiong Gao

Thanks to the advancements of technology such as next-generation sequencing, an overwhelming amount of cancer genomics data has been generated by large-scale cancer genomics projects such as The Cancer Genome Atlas (TCGA). This has imposed an increasing challenge in the translation of the wealth of the resulting “big data” into biological discoveries and clinical applications.

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Diabetes Self-Management Applications: Focus Group Findings from Elderly Diabetic Patients

The number of mobile diabetes self-management (DSM) apps has risen. However, it is not certain whether these apps provide effective DSM for elderly diabetic patients. The purpose of this study was to identify barriers in functionality and usability related to needs of elderly diabetic patients for DSM apps. We conducted two focus groups with 10

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Big Data Colloquium Distinguished Speaker – Dr. Philip S. Yu

The problem of big data has become increasingly importance in recent years. On the one hand, big data is an asset that potentially can offer tremendous value or reward to the data owners. On the other hand, it poses tremendous challenges to distil the value out of the big data. The very nature of big

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MUII’s Data Science and Analytics Master’s Program to Deliver Cutting-Edge Training to the NGA with $12 Million Federal Contract

The University of Missouri College of Engineering has just been awarded a five-year, $12 million contract to deliver a comprehensive data science education program that will provide cutting-edge analytical training for the NGA workforce and potentially other members of the U.S. Intelligence Community (IC). This new program will address key education and training needs identified by NGA.

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