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.
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by Daniel Abel, mentored by Michael Smoot
by Gang Su, mentored by Kristina Hanspers
by Patrick J. McSweeney, mentored by Maital Ashkenazi
by Victoria Mui, mentored by Greg Wilson
by Jianjiong Gao, mentored by Keiichiro Ono
by Dazhi Jiao, mentored by John "Scooter" Morris
by Bülent Arman Aksoy, mentored by Thomas Kelder
by Stephen Andrew Federowicz, mentored by Alexander Pico
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