GenMAPP

GenMAPP is a free computer application designed to visualize gene expression and other genomic data on maps representing biological pathways and groupings of genes. Integrated with GenMAPP are programs to perform a global analysis of gene expression or genomic data in the context of hundreds of pathway MAPPs and thousands of Gene Ontology Terms (MAPPFinder), import lists of genes/proteins to build new MAPPs (MAPPBuilder), and export archives of MAPPs and expression/genomic data to the web. The main features underlying GenMAPP are: Draw pathways with easy to use graphics tools. Color genes on MAPP files based on user-imported genomic data. Query data against MAPPs and the GeneOntology.


References in zbMATH (referenced in 7 articles )

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  1. 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)
  2. Lachmann, Alexander; Ma’ayan, Avi: Lists2networks: integrated analysis of gene/protein lists (2010) ioport
  3. Jeong, Dong Hyun; Darvish, Alireza; Najarian, Kayvan; Yang, Jing; Ribarsky, William: Interactive visual analysis of time-series microarray data (2008) ioport
  4. Jeong, Dong Hyun; Darvish, Alireza; Najarian, Kayvan; Yang, Jing; Ribarsky, William: Interactive visual analysis of time-series microarray data (2008) ioport
  5. Gaj, Stan; Van Erk, Arie; Van Haaften, Rachel Im; Evelo, Chris Ta: Linking microarray reporters with protein functions (2007) ioport
  6. Hulshizer, Randall; Blalock, Eric M.: (Post hoc )pattern matching: Assigning significance to statistically defined expression patterns in single channel microarray data (2007) ioport
  7. Chen, Chin-Fu; Feng, Xin; Szeto, Jack: Identification of critical genes in microarray experiments by a neuro-fuzzy approach (2006)