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A Case-Control based Genomic Analysis of Chronic Obstructive Pulmonary Disease

Chronic Obstructive Pulmonary Disease (COPD) is a respiratory illness that affects millions of people all over the world. It is a major cause of chronic morbidity and mortality and a serious global public health problem. COPD is the fourth leading cause of death worldwide. Although the environmental causes of COPD which predominantly include cigarette smoking

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Large Scale Study of the Long-Term Effects of COVID-19 Infection Using Aggregated EHR Data

COVID-19 is known to have complex multi-system effects but the lasting effects of infection remain poorly understood. With the number of confirmed infections globally surpassing 200 million it is more important than ever to understand the potential long-term implications of COVID-19 infection on patient health. We have created a pipeline to analyze data from over

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FASTAptameR 2.0: A Web Server for Combinatorial Selections Analysis

Combinatorial selection strategies are powerful tools that allow researchers to simulate selective pressures over time on randomized sequence libraries. This is important for lead discovery and optimization and for understanding selection dynamics. Given the evolutionary nature of these experiments, high-fitness sequences will enrich, whereas low-fitness sequences will deplete. These experiments can generate large magnitudes of

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MD – Informatics PhD student, Cynthia Tang, wins the American College of Physicians 2021 National Virtual e-Poster Competition

Cynthia Tang is a first-year MD- Informatics PhD program student in Dr. Henry Wan’s lab. In her poster presentation “Assessing the clinical, epidemiological, and molecular implications of SARS-CoV-2 in Missouri”, Cynthia presented her research findings on SARS-CoV-2 viruses. In the May 14, 2021 American College of Physicians (ACP) town hall meeting, the Award Committee announced this news and said

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Bioinformatics Research and Collaboration in the Era of Big Data and Precision Medicine

As we have entered the precision medicine and big data science era, there are many unmet challenges on identifying the disease related information from large, heterogeneous data, and translating the findings for clinical use. Among these challenges, one is how to effectively identify driver mutations and genes in cancer genomes, especially those with the potential

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Detection of changes in allelic frequencies due to selection on complex traits in the genomes of pigs from four genetic lines using generation proxy selection mapping

Most economically relevant traits in pig breeding programs are controlled by numerous causal variants spread across the genome and undergo selection pressure to improve the genetic merit of commercial pigs.  As a result, small changes in allele frequency over relatively short time scales are induced at these loci.  Identification of genomic loci that exhibit directional

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CANCER PRIORITY BY RACE

Cancer is one of the most common and deadly diseases and its incidence is increasing. There are over one hundred types of cancer and they have a varied impact on society and the individuals affected. Racial disparities play a role in the outcome of many diseases. How does race impact the types of cancer that

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De-novo SuperTranscriptome assembly from the nodal root growth zone of maize inbred line FR697

Certain cultivars of maize show increased resistance to water deficit conditions by maintenance of root growth. To better understand the molecular mechanisms related to this adaption, nodal root growth zone samples were collected from the reference inbred line B73 and inbred line FR697, which exhibits a relatively greater ability to maintain root elongation under water

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Design and Evaluation of a Longitudinal Method to Measure Physician Burnout in the Clinical Workflow

Burnout, a condition characterized by emotional exhaustion, listlessness, and an inability to cope, is demonstrably more prevalent among healthcare providers than other occupations.  Burnout is fundamentally a longitudinal problem, but traditional instruments for measurement such as the Maslach Burnout Inventory (MBI) and the Professional Fulfillment Index (PFI) are time-consuming, expensive, and complex to administer, making

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Analysis and Dissemination of School-based Immunization Data to Improve Public Health Outcomes in Missouri

In Missouri, immunization is required for both public and private school students against common vaccine-preventable diseases (VPDs) including polio, pertussis, varicella, measles, mumps, and rubella; however, parents may forego vaccination for their child by claiming medical or religious exemptions. Like many states across the US, Missouri is experiencing increasing vaccine exemption rates. However, health officials

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