Omics-Based Predictive Modeling of Age-Dependent Outcome to Influenza Infection
- Elodie Ghedin, NYU
- Bin Zhang and Eric Schadt, Icahn School of Medicine at Mt. Sinai
The focus of this project is to develop computational models that integrate large-scale Omics data collected over the course of influenza A virus infections to predict severe disease outcome. Our ultimate goal is to leverage the power of large-scale data and mathematical modeling to identify risk-stratifying prognostic biomarkers that could be used in the development of point of care testing.
- Ted Ross, University of Georgia
- David Kelvin, Alyson Kelvin, UHN Toronto
- Clayton Wiley, Stephanie Bissel, University of Pittsburgh
- Brian Bot, Larsson Omberg, SAGE Bionetworks
High Throughput Identification of Influenza Virus Amino Acids Responsible for Human to Human Transmission
- Yoshi Kawaoka, University of Wisconsin (PI)
- Bill & Melinda Gates Foundation Project
The objectives of this project are to identify mutations in avian virus surface proteins that confer binding to human-type receptors, and to identify mutations in avian polymerase proteins that facilitate efficient replication in human cells. Both objectives rely on high-throughput screening of mutant virus libraries generated by error-prone PCR mutagenesis of target genes.