Construction, visualisation and analysis of co-expression networks

Many types of real-world data can be (and often are) represented as networks. Sometimes a network connection represents the real-word entity directly (e.g. a road in transportation networks), sometimes it captures a more abstract concept of a relationship (e.g. a co-authorship in collaboration networks, a reaction in metabolic pathways, or an interaction in social networks). The higher the level of abstraction, the harder the network analysis becomes.

In this talk, I'm going to focus on one type of an abstract network - the gene co-expression network. I will discuss the issues related to the network construction and interactive visual exploration / analysis. The network in question would be based on the raw expression data measured during tomato fruit development (a model organism for fleshy fruits).