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Sequence Identity Study for Operational Taxonomic Unit Classification
Presenter:

Huan Truong

Date:

09-15-2014

Time:

11:00AM-12:00PM

Location:

2206A Student Center

In metagenomics studies of microorganisms, Operational Taxonomic Unit (OTU) is often used as the replacement for species distinction. This pseudo-species definition is helpful in cases when the scientists would like to understand the composition and diversity of the culture in different environments. Traditional numerical taxonomy method typically defines an OTU as a cluster in a

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Predictive Analytics On Medicare/Medicade Cost Outcomes
Presenter:

Lincoln Sheets

Date:

09-08-2014

Time:

11:00AM-12:00PM

Location:

2206A Student Center

LIGHT2 (Leveraging Information Technology for Hi-Tech and Hi-Touch Care) is a federally funded project using 24 “Nurse Care Managers” to manage the health of 10,000 Medicare and Medicaid patients. Its goal is to reduce exacerbations of chronic diseases, which would improve health outcomes while lowering healthcare costs. Analytics support (“Hi-Tech”) support for the Nurse Care

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A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction
Presenter:

Matt Spencer

Date:

02-17-2014

Time:

11:00AM-12:00PM

Location:

S206 Memorial Union

The necessity for reliable ab initio protein secondary structure prediction is growing along with the demand for accurate tertiary structure prediction. Although recent developments have slightly exceeded previous methods of secondary structure prediction, these methods rarely surpass 80% accuracy. Developing new tools and methods to improve secondary structure prediction is essential to the improvement of

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Automated Large-Scale File Preparation and Docking: Evaluation of ITScore and STScore Using the 2012 Community Structure−Activity Resource Benchmark
Presenter:

Sam Grinter

Date:

12-02-2013

Time:

11:00AM-12:00PM

Location:

2206A Student Center

We present the first study utilizing the full set of compounds from the recently released 2012 Community Structure−Activity Resource (CSAR) data set. The CSAR data set is a realistic benchmark for protein-ligand docking scoring functions, containing 57 crystal structures and 757 compounds, most with known affinities from pharmaceutical companies. We used the CSAR data set

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Simulation based Training for Medical Skills: Comparative Effectiveness of Training Methods and Evaluating the Translational Impact
Presenter:

Christina Stephan

Date:

10-14-2013

Time:

11:00AM-12:00PM

Location:

2206A Student Center

Simulation based medical education is gaining wide spread appeal as a means to increase medical skill training opportunities and enhance patient safety in a changing medical environment. Two factors have accelerated the adoption of patient simulation in health care including; 1) the successful use of simulation in other high risk endeavors such as airline pilot

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