Data Visualization and Analytics

PlotS: web-based application for data visualization and analysis

PlotS is a web-based tool that integrates data visualization and statistical analysis, offering customizable graphs and inferential methods to improve data interpretation and reporting.

escheR: Unified multi-dimensional visualizations with Gestalt principles

escheR improves 2D data visualization for multi-dimensional data using Gestalt principles, with applications in genomics and spatial transcriptomics.

Dynamic visualization of high-dimensional data

DynamicViz generates dynamic visualizations to assess the reliability of dimensionality reduction methods by quantifying dynamic variability in data.

scatterHatch: an R/Bioconductor package for colorblind accessible visualization of single-cell data

scatterHatch creates accessible scatter plots for single-cell data using color and patterns to improve readability for color-vision deficient readers.

Solving Anscombe's Quartet using a Transfer Learning Approach

The paper proposes ICLUST, a transfer learning approach to visually distinguish scatterplots with similar summary statistics, identifying meaningful clusters in simulations and real data.

Real-Time Interactive Visualization and Analysis of Neurotransmitter Data

The paper presents an interactive visualizer for analyzing high-resolution neurotransmitter data from epileptic seizures, enabling both broad and detailed analysis.

U-CIE : Color encoding of high-dimensional data

U-CIE encodes high-dimensional data as colors using UMAP and CIELAB to preserve structure for visualization.

Kokiri: Random-Forest-Based Comparison and Characterization of Cohorts

Kokiri is a visual analytics tool that compares and characterizes patient cohorts by identifying important attributes and visualizing overlaps, demonstrating its use in lung cancer cohort analysis.

Hiplot: a comprehensive and easy-to-use web service boosting publication-ready biomedical data visualization

Hiplot provides a web service with 230+ interactive visualization tools for biomedical data, enabling users to generate publication-ready graphics without advanced expertise.

R/LinkedCharts: A novel approach for simple but powerful interactive data analysis

R/LinkedCharts simplifies creating interactive linked visualizations for exploratory data analysis with minimal R code.

Make Interactive Complex Heatmaps in R

The paper introduces an R package that adds interactivity to static heatmaps, enabling deeper exploration through Shiny web applications.

spiralize: an R Package for Visualizing Data on Spirals

The paper introduces an R package called spiralize for visualizing data on spirals, demonstrating its flexibility and power through real-world examples.

linus: Conveniently explore, share and present large-scale biological trajectory data from a web browser.

linus provides an interactive web-based tool for exploring and sharing large-scale biological trajectory data.

Coral: a web-based visual analysis tool for creating and characterizing cohorts

Coral is a web-based tool for creating and analyzing patient cohorts using genomic and clinical data from multiple sources.

i2dash: Creation of Flexible, Interactive and Web-based Dashboards for Visualization of Omics-pipeline Results

i2dash creates customizable, interactive web dashboards for visualizing omics data, integrating with R-based analysis pipelines and supporting single-cell RNA-seq workflows.

VICTOR: A visual analytics web application for comparing cluster sets

VICTOR is a web application that compares clustering results using visual analytics tools and multiple metrics.

LAB-AID (Laboratory Automated Interrogation of Data): an interactive web application for visualization of multi-level data from biological experiments

LAB-AID is an interactive web tool that visualizes and interrogates hierarchical biological experimental data to improve understanding and identify outliers and batch effects.

HiddenVis: a Hidden State Visualization Toolkit to Visualize and Interpret Deep Learning Models for Time Series Data

HiddenVis visualizes and interprets deep learning models for time series data using accelerometer data from NHANES to identify activity patterns linked to mortality.

V-NeuroStack: 3D Time Stacks for Identifying Patterns in Calcium Imaging Data

V-NeuroStack is a visualization tool for analyzing calcium imaging data from mouse cortical neurons, enabling exploration of spatio-temporal patterns through 3D time stacks and 2D networks.

Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning

PO_SCPLOWEAXC_SCPLOW enables interactive visual pattern search in sequential data using unsupervised deep representation learning, outperforming existing techniques in retrieving similar patterns.

A substrate for modular, extensible data-visualization

The paper introduces a data-visualization framework and Python library to simplify collaboration and visualization of complex datasets across research teams.

GENVISAGE: Rapid Identification of Discriminative and Explainable Feature Pairs for Genomic Analysis

GENVISAGE identifies discriminative gene pairs in genomic data and visualizes their separation between biological classes with a 400X speedup over baselines.

BigTop: A Three-Dimensional Virtual Reality Tool for GWAS Visualization

BigTop provides a 3D VR visualization of GWAS data, enhancing interaction and exploration beyond traditional 2D Manhattan plots.

Porthole and Stormcloud: Tools for visualisation of spatiotemporal M/EEG statistics

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

Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations

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

G-Graph: An interactive genomic graph viewer

G-Graph is an interactive genomic scatter plot viewer designed for exploring numeric data and annotations across genomic positions, enabling researchers to analyze copy number profiles and identify deleterious variants.

BPG: Seamless, Automated and Interactive Visualization of Scientific Data

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: Creating and Assessing Qualitative Palettes With Many Colors

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

Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets

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

A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT

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