title: Data mining in the MetaCyc family of pathway databases.
abstract: Pathway databases collect the bioreactions and molecular interactions that define the processes of life. The MetaCyc family of pathway databases consists of thousands of databases that were derived through computational inference of metabolic pathways from the MetaCyc pathway/genome database (PGDB). In some cases, these DBs underwent subsequent manual curation. Curated pathway DBs are now available for most of the major model organisms. Databases in the MetaCyc family are managed using the Pathway Tools software. This chapter presents methods for performing data mining on the MetaCyc family of pathway DBs. We discuss the major data access mechanisms for the family, which include data files in multiple formats; application programming interfaces (APIs) for the Lisp, Java, and Perl languages; and web services. We present an overview of the Pathway Tools schema, an understanding of which is needed to query the DBs. The chapter also presents several interactive data mining tools within Pathway Tools for performing omics data analysis.
authors.affiliation: Bioinformatics Research Group, SRI International, Menlo Park, CA, USA. pkarp@ai.sri.com
authors.forename: Peter D
authors.initials: PD
authors.lastname: Karp
authors.forename: Suzanne
authors.initials: S
authors.lastname: Paley
authors.forename: Tomer
authors.initials: T
authors.lastname: Altman
mesh_terms: D000818:Animals; D017360:Arabidopsis / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D030541:Databases, Genetic; D004926:Escherichia coli / Q000235:genetics; D015870:Gene Expression; D053263:Gene Regulatory Networks; D016680:Genome, Bacterial; D016681:Genome, Fungal; D015894:Genome, Human; D018745:Genome, Plant; D006801:Humans; D020407:Internet; D053858:Metabolic Networks and Pathways; D051379:Mice; D046228:Microarray Analysis; D012441:Saccharomyces cerevisiae / Q000235:genetics; D012984:Software