Data Visualization and Analytics

This paper introduces Porthole and Stormcloud, visualization tools for spatiotemporal M/EEG data, offering enhanced graphical capabilities for print and screen.

The paper develops an interactive visual analytics system to evaluate and analyze deep embeddings of large-scale molecular dynamics simulations.

BPG is an R package that generates publication-quality, customizable plots and offers an interactive web tool for figure customization and integration with computational pipelines.

Polychrome creates and evaluates color palettes with at least 24 distinguishable colors for categorical data visualization, addressing limitations in existing R packages.

This paper introduces Scalable Insets, a technique for exploring annotated patterns in multiscale visualizations, improving search speed and comparison accuracy.

The paper introduces a method to systematically survey data visualizations and creates a genomic epidemiology visualization typology (GEViT) with an online gallery.

BioSankey visualizes microbial communities and gene expression over time using Sankey diagrams, generating interactive HTML pages for analysis.

The paper introduces canvasXpress, an interactive visualization toolkit for scientific and genomics data, highlighting its features and real-world applications in bioinformatics.

Lineage is a visual analysis tool that maps multifactorial disease analysis to multivariate graph visualization using genealogical, clinical, and genetic data.

The paper introduces iCAVE, a 3D visualization tool for complex biological networks, and provides a guide for its use.

The paper introduces paplot, a software tool for generating interactive reports in cancer genome analysis, enabling richer data exploration than static visualizations.

The paper introduces a method for visualizing and refining cluster assignments in biological data, improving the differentiation of genotypes and phenotypes.

MediSyn synthesizes biomedical datasets to support drug treatment selection by visualizing drug-target relations and uncertainties.

HiPiler is an interactive visualization tool for exploring large genome interaction matrices, enabling users to define and analyze regions of interest through thumbnails and linked exploration.

UpSetR provides a scalable matrix-based visualization for intersecting sets and their properties, offering an alternative to Venn and Euler diagrams.

The paper introduces graphical methods and tools to better compare two groups in neuroscience, offering more detailed insights than traditional bar graphs and t-tests.