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.
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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) - The EcoCyc model-organism database collects and summarizes experimental data for Escherichia coli K-12. EcoCyc is regularly updated by the manual…
The BioCyc Metabolic Network Explorer (4/1/2021) - Background: The Metabolic Network Explorer is a new addition to the BioCyc.org website and the Pathway Tools software suite that…
Leveraging Curation Among Escherichia coli Pathway/Genome Databases Using Ortholog-Based Annotation Propagation (3/1/2021) - Abstract Updating genome databases to reflect newly published molecular findings for an organism was hard enough when only a single…
Pathway Tools Visualization of Organism-Scale Metabolic Networks (1/1/2021) - Abstract Metabolomics, synthetic biology, and microbiome research demand information about organism-scale metabolic networks. The convergence of genome sequencing and computational…
The MetaCyc Database of Metabolic Pathways and Enzymes – A 2019 Update (10/5/2019) - MetaCyc (MetaCyc.org) is a comprehensive reference database of metabolic pathways and enzymes from all domains of life. It contains 2749…
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