Sciweavers

Share
BMCBI
2006

GOurmet: A tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributi

9 years 3 months ago
GOurmet: A tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributi
Background: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficult resource for investigators to utilize effectively. Software tools have been recently developed to use the distribution of gene ontology (GO) terms associated with the genes in an EP to identify specific biological functions or processes that are over- or under-represented in that EP relative to other EPs. Additionally, it is possible to use the distribution of GO terms inherent to each EP to relate that EP as a whole to other EPs. Because GO term annotation is organized in a tree-like cascade of variable granularity, this approach allows the user to relate (e.g., by hierarchical clustering) EPs of varying length and from different platforms (e.g., GeneChip, SAGE, EST library). Results: Here we present GOurmet, a software package that calculates the distribution of GO terms represented by the genes in an in...
Jason M. Doherty, Lynn K. Carmichael, Jason C. Mil
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where BMCBI
Authors Jason M. Doherty, Lynn K. Carmichael, Jason C. Mills
Comments (0)
books