Interactive visualization of biological data on the web.
Web-based biology-related visualization tools are often scattered across the internet and difficult to discover. They may be found on GitHub, Twitter, or linked from scientific papers. These tools can be very useful to scientists looking to visualize biological data in the context of diseased or healthy humans or model organisms.
Browse COSMIC data by tissue type and histology.
Explore functional genomic data sets for correlations between genomic and/or phenotypic variables.
Visualization, analysis and download of large-scale cancer genomics data sets.
Interactive exploration of mutation rates, mutation signatures, clinical data, gene mutations.
Visualization and collaborative annotation of genomic aberrations.
Interactive visualization of mutational signatures and clinical data.
An interactive visualization of patient gender, race, and age in The Cancer Genome Atlas (TCGA) dataset.
Omics analysis tool for clinical phenotype prediction.
Mutational signatures extracted from cancer samples and isogenic cell-based experiments.
An integrated suite of analysis tools for users to explore hypotheses related to molecular and clinical data.
Interactively visualize genomic data.
A genome browser for vertebrate genomes that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation.
Analyze your experimental results in the functional context of gene-gene networks from multiple organisms.
A graph-based tool for reconstruction of plasmids from next generation sequence pair-end datasets.
A phylogenetic tree viewer.
Visualization, analysis, and editing of phylogenetic trees.
Helps predict the function of genes and gene sets.
Visualize variants of the human genome.
A genome-wide almanac of co-essential modules assigns function to uncharacterized genes.
A grammar-based toolkit for scalable and interactive genomics data visualization.
Interactive viewer for GenBank/GenPept records: linear and circular feature maps, CDS translation, ORF and restriction-site layers, entirely in the browser.
A tool for exploring genomic contact matrices and tracks.
A tool for visually exploring and aggregating reoccurring patterns (like loops, TADs, etc.) in Hi-C maps.
An integrative analysis and visualization platform for 3D genome.
Visualization for Hi-C data.
3D genome browser and TADbit front-end.
Interactive statistical and visual analysis of metagenomic data.
Explore how genes are expressed across more than 500 individual Plasmodium parasites.
Interactive visual analytics for functional genomics data.
Epigenome and genome interaction.
Displays many sequencing-based data sets across all or part of the genome, on specific gene sets or pathways, and in the context of their metadata.
Browse relative mRNA expression data for cancer cell lines from the Cancer Cell Line Encyclopedia (CCLE) by tissue of origin using Clustergrammer.
Interactive visual pattern exploration in epigenomic data using unsupervised deep representation learning.
A platform for understanding cancer mutations in the context of 3D protein structure.
Visualisation and image production of protein and nucleic acid structures.
A platform for connecting genomic data to protein sequence and protein structure.
Visualization of large-scale
Convert a PDB structure into a 3D-printable 3MF file, with one object per chain, magnet pockets and custom display stands.
macromolecular structure data.
Visual integration tool for exploration of spatial single-cell experiment data.
Visualize cell type signatures of alternative splicing in postnatal development.
Spatial transcriptomics in Alzheimer's disease.
Tool for sharing, browsing and visualizing single-cell data stored in the Loom file format.
Interactive visualization of large-scale spatial gene expression and tissue morphology data.
A web-based visualization package for spatial transcriptomic data.
An interactive explorer for single-cell transcriptomics data.
An interactive viewer for single-cell expression.
Large-scale visualization of drug-induced transcriptomic signatures.
A collaborative portal to analyze single-cell transcriptomics data.
A visualization tool for large-scale scRNA-seq datasets.
Atlas of cell types from the Linnarsson Lab.
Reducing barriers and accelerating single-cell research.
Atlas of human and mouse transcriptomic cell types.
Interactive visualization of single-cell data in virtual reality.
A tool for uncovering high-dimensional structure in single-cell gene expression data.
Shiny Transcriptome Analysis Resource Tool allows users to visualize RNA-seq data starting with count data.
The Interactive SummarizedExperiment Explorer.
Tumor Immune Single-cell Hub (TISCH) is a scRNA-seq database focusing on tumor microenvironment.
Single cell gene expression across species.
Versatile matrix visualization and analysis software.
Visualize high-dimensional data as interactive hierarchically clustered heatmaps.
Slide and image data.
A lightweight "batteries-included" WebGL viewer for remote imaging data in Bio-Formats Zarr or OME-TIFF format.
Tool for visualization of highly detailed maps of neuronal connectivity in the fly brain.
A high-resolution map of neural connections in the mouse brain.
A human-AI collaboration to map the fly connectome.
A platform for metabolite annotation of imaging mass spectrometry data.
Cytosplore is an interactive visual analysis system for the analysis of mass cytometry data.
Real-time tracking of virus evolution.
Visualizations of disease worldwide.
Visualization of the lifespans of multiple species.
Life expectancies around the world, 1960 to 2009.
Scientific evidence for popular health supplements.
Tool for visualizing the sieve analyses of HIV-1 vaccine efficacy trials.