Suzanne Paley is a Senior Computer Scientist at SRI’s Artificial Intelligence Center. She works in the interdisciplinary field of bioinformatics to develop computer science methods for managing and analyzing biological data and knowledge. Suzanne has been instrumental in developing new techniques for representation and visualization of metabolic networks, regulatory relationships, experimental datasets and the other forms of biological data and knowledge that underlie the EcoCyc, MetaCyc and BioCyc collection of organism databases, and the Pathway Tools software suite.
Suzanne has an M.S. in Chemistry from Stanford University and an M.S. in Computer Science from UC Berkeley.
Key Projects
Recent publications
more +Pathway Tools Management of Pathway/Genome Data for Microbial Communities (4/1/2022) - The Pathway Tools software provides a suite of capabilities for storing and analyzing collections of genomic and metabolic information .
The EcoCyc Database in 2021 (7/1/2021) - This article highlights recent improvements to the curated data in the areas of metabolism, transport, DNA repair, and regulation of…
The BioCyc Metabolic Network Explorer (4/1/2021) - The Metabolic Network Explorer is a new addition to the BioCyc.org website and the Pathway Tools software suite that supports…
Leveraging Curation Among Escherichia coli Pathway/Genome Databases Using Ortholog-Based Annotation Propagation (3/1/2021) - We have developed a method to automatically propagate multiple types of curated knowledge from genes and proteins in one genome…
Pathway Tools Visualization of Organism-Scale Metabolic Networks (1/1/2021) - We have developed bioinformatics software tools that automatically generate a full metabolic-network diagram for an organism, and that enable searching…
The MetaCyc Database of Metabolic Pathways and Enzymes – A 2019 Update (10/5/2019) - This article provides an update on the developments in MetaCyc during September 2017 to August 2019, up to version 23.1.