title: Pathway mapping tools for analysis of high content data.
abstract: The complexity of human biology requires a systems approach that uses computational approaches to integrate different data types. Systems biology encompasses the complete biological system of metabolic and signaling pathways, which can be assessed by measuring global gene expression, protein content, metabolic profiles, and individual genetic, clinical, and phenotypic data. High content screening assays can also be used to generate systems biology knowledge. In this review, we will summarize the pathway databases and describe biological network tools used predominantly with this genomics, proteomics, and metabolomics data but which are equally as applicable for high content screening data analysis. We describe in detail the integrated data-mining tools applicable to building biological networks developed by GeneGo, namely, MetaCore and MetaDrug.
authors.affiliation: GeneGo, Jerkintown, PA, USA.
authors.forename: Sean
authors.initials: S
authors.lastname: Ekins
authors.forename: Yuri
authors.initials: Y
authors.lastname: Nikolsky
authors.forename: Andrej
authors.initials: A
authors.lastname: Bugrim
authors.forename: Eugene
authors.initials: E
authors.lastname: Kirillov
authors.forename: Tatiana
authors.initials: T
authors.lastname: Nikolskaya
mesh_terms: D019295:Computational Biology / Q000379:methods*; D019992:Databases as Topic; D023281:Genomics / Q000379:methods; D006801:Humans; D040901:Proteomics / Q000379:methods; D012984:Software