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.
Key Projects
Recent publications
more +-
CyanoCyc Cyanobacterial Web Portal
CyanoCyc is a web portal that integrates an exceptionally rich database collection of information about cyanobacterial genomes with an extensive suite of bioinformatics tools.
-
The Omics Dashboard for Interactive Exploration of Metabolomics and Multi-Omics Data
The Omics Dashboard is a software tool for interactive exploration and analysis of metabolomics, transcriptomics, proteomics, and multi-omics datasets.
-
The EcoCyc Database (2023)
The long-term goal of the project is to describe the complete molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to…
-
Pathway Tools Management of Pathway/Genome Data for Microbial Communities
The Pathway Tools software provides a suite of capabilities for storing and analyzing collections of genomic and metabolic information.
-
The EcoCyc Database in 2021
This article highlights recent improvements to the curated data in the areas of metabolism, transport, DNA repair, and regulation of gene expression.
-
The BioCyc Metabolic Network Explorer
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.