GenMAPP 2: new features and resources for pathway analysis

Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for a variety of species. Analyzing and displaying these data present a significant challenge. Pathway-based approaches for analyzing microarray data have proven useful for presenting data and for generating testable hypotheses. Results: To address the growing needs of the microarray community we have released version 2 of Gene Map Annotator and Pathway Profiler (GenMAPP), a new GenMAPP database schema, and integrated resources for pathway analysis. We have redesigned the GenMAPP database to support multiple gene annotations and species as well as custom species database creation for a potentially unlimited number of species. We have expanded our pathway resources by utilizing homology information to translate pathway content between species and extending existing pathways with data derived from conserved protein...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Nathan Salomonis, Kristina Hanspers, Alexander C. Zambon, Karen Vranizan, Steven C. Lawlor, Kam D. Dahlquist, Scott Doniger, Joshua M. Stuart, Bruce R. Conklin, Alexander R. Pico
• Keywords: BMCBI 2007, Gene Map Annotator, GenMAPP Database, GenMAPP Version