This document discusses the Connectivity Map (CMap), a resource for exploring connections between genetics and disease. CMap contains over 1.4 million gene expression profiles from experiments with over 15 cell types and 12,488 compounds. It has been cited in over 1,200 scientific reports and has over 19,000 registered users. The document outlines CMap's data model for storing experimental signatures and metadata in a way that is flexible, scalable, and optimized for querying. It also discusses APIs for accessing and analyzing CMap data, as well as tools for tasks like predicting drug function and finding novel drug targets.