Eu.Gene Analyzer a tool for integrating gene expression data with pathway databases
AbstractMotivation: 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... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2007 |
Schlagwörter: | Netherlands / Computational Mathematics / Computational Theory and Mathematics / Computer Science Applications / Molecular Biology / Biochemistry / Statistics and Probability |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27200421 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://www.openaccessrepository.it/record/100671 |
AbstractMotivation: 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.Availability: Download of Eu.Gene Analyzer Java version is available free of charge for academic users. Please visit the web page: http://www.ducciocavalieri.org/bio/Eugene.htmContact: duccio.cavalieri@unifi.itSupplementary information: http://www.ducciocavalieri.org/bio/Eugene/Suppl_Inf