GeneVis - An interactive visualization tool for combining cross-discipline datasets within genetics
Casper van Leeuwen

TL;DR
GeneVis is an interactive web-based visualization tool that integrates diverse genetic datasets, enabling intuitive exploration of gene relationships and associations while effectively managing visual clutter in complex data.
Contribution
It introduces a novel interactive visualization platform that combines multiple genetic data types within a unified, user-friendly interface.
Findings
Enables quick assessment of gene-dataset relations
Reduces visual clutter in large gene datasets
Supports detailed gene interaction analysis
Abstract
GeneVis is a web-based tool to visualize complementary data sets of different disciplines within the field of genetics. It overlays gene-cluster information, gene-interaction data and gene-disease association data by means of web-based interactive graph visualizations. This allows an intuitive and quick assessment of possible relations between the different datasets. By starting from a high-level graph abstraction based on gene clusters, which can be selected for detailed inspection at the gene-interaction level in a separate window, GeneVis circumvents the common visual clutter problem when using gene datasets with a high number of gene entries.
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Taxonomy
TopicsBioinformatics and Genomic Networks · Genetics, Bioinformatics, and Biomedical Research · Biomedical Text Mining and Ontologies
