The Synthetic Biology Knowledge System
Abstract
Synthetic biology has transformative potential in a variety of application areas including agriculture, energy, materials, and health. While much of the research in this field has been in E. Coli, many applications require yeast and other bacteria. Researchers often use trial-and-error, since information can be difficult to locate. The goal of the Synthetic Biology Knowledge System (SBKS) is to create an an open and integrated resource that harnesses disparate, heterogeneous data sources to accelerate scientific exploration and discovery. This abstract gives an overview of the SBKS project, while several other abstracts submitted to this workshop explain different aspects in more detail.
Chris Myers
Department Chair / Professor
Eric Yu
Undergraduate Researcher
Logan Terry
Graduate Researcher, M.S.
Mai Nguyen
Lead for Data Analytics
My research interests include artificial intelligence, deep/machine learning, and data science.
Gaurav Nakum
Graduate Researcher, M.S.
Xuanyu Wu
Undergraduate Researcher
Kevin Keating
Graduate Researcher, Ph.D.
Eric Young
Assistant Professor
Bridget McInnes
Assistant Professor
Nicholas Rodriguez
Graduate Researcher, Ph.D.
Jacob Jett
Postdoctoral Researcher
Stephen Downie
Associate Dean for Research / Professor
