Integrative Genomics to Understand Complex Biological Systems

A complete understanding of living creatures and their behaviors cannot come from studying only one aspect of physiology.  Rather, it emerges from integrating knowledge across scales, domains, and dimensions to understand the network of cellular interactions underlying biological systems.  While new methods of measuring physiology emerge at a rapid pace, how to understand that information in the context of living cells remains a major challenge. Researchers in the CGSI work collaboratively to understand cellular systems.

Audrey P. Gasch

Credentials: CGSI Director, Genetics

Elucidating systems-level relationships between genotype-phenotype-environment in eukaryotic stress responses

Chris Todd Hittinger

Credentials: Genetics

The Hittinger Lab uses yeast carbon metabolism as a model for basic bioenergy, biomedical, and evolutionary research

Megan McClean

Credentials: Biomedical Engineering

A bioengineering approach to understanding fundamental biological and medical questions in microbes, specifically model and pathogenic yeasts.

Nicole Perna

Credentials: Genetics

Elucidating bacterial genome evolution among plant and animal pathogens

John Pool

Credentials: Genetics

Developing and applying genomic analysis methods to investigate the genetic complexity of adaptive trait evolution and reproductive isolation

Srivatsan Raman

Credentials: Biochemistry

Systems and synthetic biology approach to understanding and designing biology

Michael R. Sussman

Credentials: Biochemistry

Innovating massively parallel genomic technologies and applying to understand how the plasma membrane functions in all cells

Donna Werling

Credentials: Genetics

Characterizing sex-differential risk mechanisms in autism and other neuropsychiatric disorders using functional genomics, human genetics and bioinformatics approaches