Aggregate and Heatmap Representations of Genome-Wide Localization Data Using VAP, a Versatile Aggregate Profiler.

In the analysis of experimental data corresponding to the signal enrichment of chromatin features such as histone modifications throughout the genome, it is often useful to represent the signal over known regions of interest, such as genes, using aggregate or individual profiles. In the present chapter, we describe and explain the best practices on how to generate such profiles as well as other usages of the versatile aggregate profiler (VAP) tool (Coulombe et al., Nucleic Acids Res 42:W485-W493, 2014), with a particular focus on the new functionalities introduced in version 1.1.0 of VAP.

VAP: a versatile aggregate profiler for efficient genome-wide data representation and discovery.

The analysis of genomic data such as ChIP-Seq usually involves representing the signal intensity level over genes or other genetic features. This is often illustrated as a curve (representing the aggregate profile of a group of genes) or as a heatmap (representing individual genes). However, no specific resource dedicated to easily generating such profiles is currently available. We therefore built the versatile aggregate profiler (VAP), designed to be used by experimental and computational biologists to generate profiles of genomic datasets over groups of regions of interest, using either an absolute or a relative method. Graphical representation of the results is automatically generated, and subgrouping can be performed easily, based on the orientation of the flanking annotations. The outputs include statistical measures to facilitate comparisons between groups or datasets. We show that, through its intuitive design and flexibility, VAP can help avoid misinterpretations of genomics data. VAP is highly efficient and designed to run on laptop computers by using a memory footprint control, but can also be easily compiled and run on servers. VAP is accessible at http://lab-jacques.recherche.usherbrooke.ca/vap/.