Category Archives: Final Projects

Final Project- Middle School Curriculum

Posted on January 14, 2012 by handson

The link to my project ideas: https://bioquest.org/scaleit2012/files/2012/01/BioQuest-2012.pptx

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Cholera: Next Door?

Posted on January 14, 2012 by drew

Final project of our cholera module using the 2011 Haiti outbreak as a backdrop for studying disease, data visualization and statistics.  This module is designed to be implemented on a wide-range of courses and can be used as a single … Continue reading →

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BioQuest / SCALE-IT Workshop: Tools to Go

Posted on January 14, 2012 by shifletab

George and Angela Shiflet will be using various tools in a variety of ways.  We will use data from “Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes” by Lieberman et. al. in projects for a module on “Markov … Continue reading →

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Red Lynx Improvements

Posted on January 14, 2012 by reed

Red Lynx, http://scit.us/redlynx/, is a web-based population genetics simulation.  For this project, I have been working on improving Red Lynx to support tutorials.  Red Lynx will now generate a link that can be used to specify the starting parameters.  This … Continue reading →

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Forest Fever: Mathematical Biology of Dengue

Posted on January 14, 2012 by lauraaw

Resources Dengue Fever

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Using bioinformatics to mine cancer SNP microarray databases

Posted on January 14, 2012 by aschultheis

We will extend the existing Case-It (www2.uwrf.edu/caseit) SNP microarray simulation which includes cases based onn prostate cancer, HIV resistance, etc. We are working to find a gene(s) for which SNP microarray data are available to build a new case for … Continue reading →

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Cholera Next Door?

Posted on January 13, 2012 by sumona

Sumona Mondal Drew Kohlhorst Tammy Longta Arlin Toro-Martinez Tamah Fridman

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GapMinder DataFitting Project

Posted on January 13, 2012 by ycao

This is a small course project. The object is to get students trained with data fitting in Matlab using real data available from GapMinder. The project will be in three steps: Step 1: Using population data of US from year … Continue reading →

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