Working Group leader: Tanya Miura Group members: Craig Miller, Ben Ridenhour, JT Van Leuven, Andres Gonzalez, Alex Wixom Originated: Spring/Summer 2015 Description: The group began working on establishing a model for viral growth in cell culture and designing experiments to parameterize the model. The group split into 4 separate subprojects (in vitro modeling, microarray analysis,…
Working Group leader: Audrey Fu Group members: Bandita Karki, Jarred Kvamme, Elijah Danquah Darko, Chenangnon Tovissode Originated: June 2015 Description: We develop statistical models and machine learning algorithms to analyze data in human genomics, with an emphasis on causal network inference and high-dimensional data.
Working Group leader: Chris Marx Group members: Andreas Vaskekis, Chris Remien, Marty Ytreberg, Jill Johnson, Sergey Stolyar, Ben Ridenhour, Tomislav Ticak, Jannell Bazurto, Jagdish Patel, Saiavash Riazi, Eric Bruger, Isaiah Jordan Originated: May 2015 Description: Our group is taking a very broad, integrated approach to understanding the mechanism and consequences of sensing the toxic metabolite…
Project Team: Scott Nuismer (PI), Chris Remien (Co-PI), James Bull (Co-PI), Andrew Basinski Viral vaccines have had remarkable and long-lasting impacts on human health, resulting in the worldwide eradication of smallpox, the elimination of polio within much of the developed world, and the effective control of many other diseases. Although great strides have been made…
Project Team: Audrey Fu (PI), Bhadur Badsha, Evan Martin In the investigation of the mechanisms behind gene regulation and its impact on diseases, two lines of research have been largely separately carried out in recent years. On the one hand, gene regulatory networks and protein interaction networks have been under extensive study, especially in systems…
Project Team: Christopher J. Marx, Ankur Dalia (Indiana University), Sergey Stolyar, Jeremy Draghi (Brooklyn College), Norma Martinez-Gomez (Michigan State University) Epistasis – non-linear interactions between genotypic changes upon phenotypes –represents a critical challenge to optimization of biological systems, whether by evolution or engineered via synthetic biology. When mutational effects upon growth or product generation depend…
Project Team: Helen Brown (PI), Christopher Murphy, Chantal Vella, Marco Mesa-Frias, Michelle Wiest This project will aim to develop or adapt an existing model to generate small area estimates in Idaho counties of the factors that place individuals at highest risk for obesity (e.g. sedentary behaviors, food insecurity, sugar-sweetened beverage consumption). Knowledge of the local…
Project Director: Mark McGuire Project Team: Janet Williams, Sarah Brooker, Chris Remien, Ben Ridenhour, JT Van Leuven Myriad microbial communities within and on the human body interact constantly with each other and environmental factors, and although much work has focused on characterizing these various community structures (especially in adults), almost nothing is known about how…
Project Team: Alex Vakanski (PI), Stephen Lee, Jake Ferguson The current methods in the literature for representing human motions are based on modeling the movements at a single level of abstraction, either at a low-level (i.e., trajectory level) of abstraction or at the high-level (i.e., symbolic level) of abstraction. The proposed project will exploit the latest advances in…
Project Team: Deborah Stenkamp (PI), Diana Mitchell, Robert Mackin, Jagdish Patel Gene replication is an established mechanism for the generation of raw genetic material upon which evolution may act. For example, tandem replication of genes to generate arrays of paralogs underlies functional diversification in vertebrate sensory systems. Tandem replication of opsin (visual pigment) genes and subsequent neofunctionalization provide…