MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data. MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology by integrating the annotations of the Gene Ontology (GO) Project with the free software package GenMAPP The results are displayed in a searchable browser, allowing the user to rapidly identify GO terms with over-represented numbers of gene-expression changes. Clicking on GO terms generates GenMAPP graphical files where gene relationships can be explored, annotated, and files can be freely exchanged.

References in zbMATH (referenced in 7 articles )

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  1. Elloumi, Mourad (ed.); Zomaya, Albert Y. (ed.): Algorithms in computational molecular biology. Techniques approaches and applications. (2011)
  2. Stingo, Francesco C.; Chen, Yian A.; Tadesse, Mahlet G.; Vannucci, Marina: Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes (2011)
  3. Lachmann, Alexander; Ma’ayan, Avi: Lists2networks: integrated analysis of gene/protein lists (2010) ioport
  4. Gaj, Stan; Van Erk, Arie; Van Haaften, Rachel Im; Evelo, Chris Ta: Linking microarray reporters with protein functions (2007) ioport
  5. Hulshizer, Randall; Blalock, Eric M.: (Post hoc )pattern matching: Assigning significance to statistically defined expression patterns in single channel microarray data (2007) ioport
  6. Newton, Michael A.; Quintana, Fernando A.; Den Boon, Johan A.; Sengupta, Srikumar; Ahlquist, Paul: Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis (2007)
  7. Chen, Chin-Fu; Feng, Xin; Szeto, Jack: Identification of critical genes in microarray experiments by a neuro-fuzzy approach (2006)