J. Chris Pires Celebrated for Research Contributions
July 27, 2017
J. Chris Pires , a Professor in the Division of Biological Sciences, was selected for the 2017 Chancellor’s Award for Outstanding Research and Creative Activity. The award is given once a year to a professor who has made outstanding contributions in research and has great promise for achieving wider recognition. It is one of the highest […]
Shi-Jie Chen receives his second concurrent NIH R01 award.
July 25, 2017
Shi-Jie Chen recieved an NIH R01 award entitled: “New computational tools for predicting ion effects in RNR structures” for four years with approximately $1.2M budget. The grant is to develop new algorithm, database, software and web server for metal ion binding to nucleic acids especially RNA molecures. The bioinformatics grant was reviewed in the Biodata […]
MUII’s Data Science and Analytics Master’s Program to Deliver Cutting-Edge Training to the NGA with $12 Million Federal Contract
September 1, 2016
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. […]
Dr. Zonyin ShaeDate:
2206A Student Center
A Blockchain Platform for Healthcare
Although Blockchain is much more investigated within the financial sector, it is gradually edging into other industries such as healthcare. Blockchain provides a trust mechanism in a cyber-system. Various last mile issues left to be resolved for establishing an end to end trust cyber physical system. This talk will discuss various aspects of blockchain last mile issues applied in the medical area. Especially, for data integrity, trust and secure data sharing technology specially fit for precision medicine supporting patient centric healthcare model. This is an international collaboration project among Asia University, Taiwan, China Medical University Hospital, Taiwan, University of Missouri, USA, and National Institute of Health (NIH) USA.
Awatef Ben RamadanDate:
103 Animal Science Resource Center
MUII Dissertation Defense-Awatef Ben Ramadan
Steps in Transforming the Missouri Cancer Registry (MCR) from an Incidence Registry to a Survival Registry
Female Breast cancer (FBC) is the most common invasive cancer among women of all races and ethnicities in the United States (US). We aimed to estimate FBC burden in Missouri in terms of FBC incidence, mortality and survival rates; to visualize these results; and to assess the usability of the Missouri Cancer Registry and Research Center’s (MCR-ARC)’s interactive maps.
FBC survival data were calculated from 2004 to 2010 after matching MCR’s FBC cases with Missouri death records, Social Security Death Index (SSDI), and National Death Index (NDI) database. FBC incidence and mortality rates were measured from 2008 to 2012. Survival and incidence data were measured by age, race, stage and grade at diagnosis, and senate districts. Mortality data was measured by age, race, and by county and Senate District Groups of Counties. The rates were visualized using InstantAtlas. A scoping review and a two round usability testing study were conducted to explore perceptions of public health professionals about the use of geographic information systems and to assess the usability of the MCR-ARC’s published maps.
The dissertation results could be very informative for Missouri decision makers and public health leaders. The visualized data could enhance the communication between collaborators from different fields related to FBC and to inform health professionals and the public.
103 Animal Science Resource Center
MUII Dissertation Defense-Lynsey Whitacre
Alternative Applications of Whole Genome De Novo Assembly in Animal Genomics
Improvements in whole genome sequencing technologies have allowed substantial increases in the amount of data that can be generated on a single individual. This has facilitated many de novo genome assembly projects in the animal sciences. The overarching goal of de novo assembly is to overlap sequencing reads to construct contiguous sequences, also known as contigs or scaffolds, representing the genome. Once a high quality de novo assembly is constructed, it is often used to determine variation in the genome or simply as a reference for future resequencing projects. However, the nature of de novo assembly algorithms lends the method to contribute information about other characteristics of an animal’s genome. The research presented in this dissertation aims to maximize the use of de novo assemblies from both RNA and DNA sequencing to answer questions about animal genomics in the absence of other established genomics or bioinformatics tools designated for that purpose. These questions include detection of commensal and parasitic organisms in cattle, runs of homozygosity pertaining to a genetic defect in water buffalo, and population-level and species-level variation in a threatened catfish.