# Tasks, Techniques, and Tools for Genomic Data Visualization

## TL;DR

This paper reviews the evolution of genomic data visualization tools, emphasizing their role in hypothesis generation and data interpretation in increasingly complex, data-driven biomedical research.

## Contribution

It introduces taxonomies for data, visualization, and tasks, and provides a comprehensive review of existing genomic visualization tools based on these taxonomies.

## Key findings

- Taxonomies for genomic data visualization are proposed.
- A comprehensive review of visualization tools is provided.
- Visualization tools aid in hypothesis generation and data interpretation.

## Abstract

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.