  Genomic data visualization is essential for interpretation and hypothesis
generation as well as a valuable aid in communicating discoveries. Visual tools
bridge the gap between algorithmic approaches and the cognitive skills of
investigators. Addressing this need has become crucial in genomics, as
biomedical research is increasingly data-driven and many studies lack
well-defined hypotheses. A key challenge in data-driven research is to discover
unexpected patterns and to formulate hypotheses in an unbiased manner in vast
amounts of genomic and other associated data. Over the past two decades, this
has driven the development of numerous data visualization techniques and tools
for visualizing genomic data. Based on a comprehensive literature survey, we
propose taxonomies for data, visualization, and tasks involved in genomic data
visualization. Furthermore, we provide a comprehensive review of published
genomic visualization tools in the context of the proposed taxonomies.

Genomics;Human-Computer Interaction;Quantitative Methods