The Connectivity Map (also known as cmap) is a collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules and simple pattern-matching algorithms that together enable the discovery of decisive functional connections between drugs, genes and diseases through the transitory feature of common gene expression changes. You can learn more about cmap by following the links below.

	read our paper in Science Magazine
	an article about cmap at The Broad Institute website
	listen to an interview on National Public Radio with Todd Golub about cmap

This web interface is designed to allow biologists, pharmacologists, chemists and clinical scientists to use cmap without the need for any specialist ability in the analysis of gene expression data.

A brief tutorial can be found by clicking ‘getting started’ under the ‘help’ tab after log in. Detailed help and a definition of cmap terms can be found by clicking ‘topics’, also under the ‘help’ tab. For everything else, please contact us.

The Connectivity Map is based at The Broad Institute of MIT and Harvard in Cambridge, Massachusetts. The cmap team is Justin Lamb, Irene Blat, Josh Modell, Dave Peck, Elizabeth Liu, Emily Crawford, Matt Wrobel and Jim Lerner. Jean-Philippe Brunet, Ken Ross, Michael Reich, Paul Clemons, Steve Haggarty, Bang Wong, Ru Wei and Steve Carr contribute invaluable expertise and assistance. Todd Golub and Eric Lander provide Institutional leadership for the project.