title: Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology.
abstract: Pathway Tools is a production-quality software environment for creating a type of model-organism database called a Pathway/Genome Database (PGDB). A PGDB such as EcoCyc integrates the evolving understanding of the genes, proteins, metabolic network and regulatory network of an organism. This article provides an overview of Pathway Tools capabilities. The software performs multiple computational inferences including prediction of metabolic pathways, prediction of metabolic pathway hole fillers and prediction of operons. It enables interactive editing of PGDBs by DB curators. It supports web publishing of PGDBs, and provides a large number of query and visualization tools. The software also supports comparative analyses of PGDBs, and provides several systems biology analyses of PGDBs including reachability analysis of metabolic networks, and interactive tracing of metabolites through a metabolic network. More than 800 PGDBs have been created using Pathway Tools by scientists around the world, many of which are curated DBs for important model organisms. Those PGDBs can be exchanged using a peer-to-peer DB sharing system called the PGDB Registry.
authors: Artificial Intelligence Center, SRI International, 333 Ravenswood Ave, AE206, Menlo Park, CA 94025, USA. pkarp@ai.sri.com
authors: Peter D
authors: PD
authors: Karp
authors: Suzanne M
authors: SM
authors: Paley
authors: Markus
authors: M
authors: Krummenacker
authors: Mario
authors: M
authors: Latendresse
authors: Joseph M
authors: JM
authors: Dale
authors: Thomas J
authors: TJ
authors: Lee
authors: Pallavi
authors: P
authors: Kaipa
authors: Fred
authors: F
authors: Gilham
authors: Aaron
authors: A
authors: Spaulding
authors: Liviu
authors: L
authors: Popescu
authors: Tomer
authors: T
authors: Altman
authors: Ian
authors: I
authors: Paulsen
authors: Ingrid M
authors: IM
authors: Keseler
authors: Ron
authors: R
authors: Caspi
mesh_terms: D019295:Computational Biology; D016678:Genome; D020407:Internet; D012984:Software; D049490:Systems Biology