GenMAPP

Preferred license: Apache License, 2.0
We are an academically based organization that develops and supports GenMAPP (Gene Map Annotator and Pathway Profiler), a visualization and analysis tool for biological data. GenMAPP illustrates the relationships between various genes and proteins to help researchers understand their data in terms of connected, biological pathways. Over 18,000 people from >70 countries have registered to download the GenMAPP program. There are over 360 publications that reference GenMAPP or use GenMAPP to display data in the context of biological pathways. GenMAPP is 100% open source. All new development is in Java, MySQL, Derby, XML, and Web technologies such as MediaWiki in collaboration with the UCSF library, BiGCaT Bioinformatics, and the Cytoscape Consortium. Our development team is composed of individuals who are both biologists and programmers, providing a unique perspective on building and using open source tools.
Actual source code produced by the student participants in Google Summer of Code™ for GenMAPP can be found here.
 
Current Projects
by Patrick J. McSweeney, mentored by Maital Ashkenazi
by Jianjiong Gao, mentored by Keiichiro Ono
by Dazhi Jiao, mentored by John "Scooter" Morris
by Bulent Arman Aksoy, mentored by Thomas Kelder