Senior Computer Scientist, Artificial Intelligence Center
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.
Recent publicationsmore +
The Omics Dashboard is a software tool for interactive exploration and analysis of metabolomics, transcriptomics, proteomics, and multi-omics datasets.
The Pathway Tools software provides a suite of capabilities for storing and analyzing collections of genomic and metabolic information.
This article highlights recent improvements to the curated data in the areas of metabolism, transport, DNA repair, and regulation of gene expression.
The Metabolic Network Explorer is a new addition to the BioCyc.org website and the Pathway Tools software suite that supports the interactive exploration of metabolic networks.
Leveraging Curation Among Escherichia coli Pathway/Genome Databases Using Ortholog-Based Annotation Propagation
We have developed a method to automatically propagate multiple types of curated knowledge from genes and proteins in one genome database to their orthologs in uncurated databases for related strains,…
We have developed bioinformatics software tools that automatically generate a full metabolic-network diagram for an organism, and that enable searching and analyses of the network.