title: Eu.Gene Analyzer a tool for integrating gene expression data with pathway databases.
abstract: Eu.Gene Analyzer is an easy-to-use, stand-alone application that allows rapid and powerful microarray data analysis in the context of biological pathways. Its intuitive graphical user interface makes it an easy and flexible tool, even for the first-time user. Eu.Gene supports a variety of array platforms, organisms and pathway ontologies, transparently deals with multiple nomenclature systems and seamlessly integrates data from different sources. Two different statistical methods, the Fisher Exact Test and the Gene Set Enrichment Analysis (GSEA), are implemented to identify biological pathways transcriptionally affected under experimental conditions. A suite of tools is offered to define, visualize and share custom non-redundant pathway sets. In conclusion, Eu.Gene Analyzer is a new software application that takes advantage of information from multiple pathway databases to build a comprehensive interpretation of experimental results in a simple, intuitive environment.
authors.affiliation: Department of Preclinical and Clinical Pharmacology, Department of Statistics, University of Florence, Florence, Italy. duccio.cavalieri@unifi.it
authors.forename: Duccio
authors.initials: D
authors.lastname: Cavalieri
authors.forename: Cinzia
authors.initials: C
authors.lastname: Castagnini
authors.forename: Simona
authors.initials: S
authors.lastname: Toti
authors.forename: Karolina
authors.initials: K
authors.lastname: Maciag
authors.forename: Thomas
authors.initials: T
authors.lastname: Kelder
authors.forename: Luca
authors.initials: L
authors.lastname: Gambineri
authors.forename: Samuele
authors.initials: S
authors.lastname: Angioli
authors.forename: Piero
authors.initials: P
authors.lastname: Dolara
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003628:Database Management Systems; D030562:Databases, Protein; D020869:Gene Expression Profiling / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D014584:User-Computer Interface
chemical_list: D020543:Proteome