awesome-biological-visualizations

Atlas of human and mouse transcriptomic cell types.

A collaborative portal to analyze single-cell transcriptomics data.

Reducing barriers and accelerating single-cell research.

An interactive explorer for single-cell transcriptomics data.

Visualize high-dimensional data as interactive hierarchically clustered heatmaps.

Single cell gene expression across species.

A high-resolution map of neural connections in the mouse brain.

A human-AI collaboration to map the fly connectome.

Tool for visualization of highly detailed maps of neuronal connectivity in the fly brain.

Spatial transcriptomics in Alzheimer's disease.

Visualize cell type signatures of alternative splicing in postnatal development.

A web-based visualization package for spatial transcriptomic data.

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.

Visual integration tool for exploration of spatial single-cell experiment data.

Visualization, analysis, and editing of phylogenetic trees.

A genome-wide almanac of co-essential modules assigns function to uncharacterized genes.

A genome browser for vertebrate genomes that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation.

Helps predict the function of genes and gene sets.

A grammar-based toolkit for scalable and interactive genomics data visualization.

Analyze your experimental results in the functional context of gene-gene networks from multiple organisms.

A lightweight "batteries-included" WebGL viewer for remote imaging data in Bio-Formats Zarr or OME-TIFF format.

Slide and image data.

Visualization, analysis and download of large-scale cancer genomics data sets.

Browse COSMIC data by tissue type and histology.

Interactive visualization of mutational signatures and clinical data.

Interactive exploration of mutation rates, mutation signatures, clinical data, gene mutations.

Visualization and collaborative annotation of genomic aberrations.

Omics analysis tool for clinical phenotype prediction.

Browse relative mRNA expression data for cancer cell lines from the Cancer Cell Line Encyclopedia (CCLE) by tissue of origin using Clustergrammer.

Interactive visual analytics for functional genomics data.

Epigenome and genome interaction.

Interactive visual pattern exploration in epigenomic data using unsupervised deep representation learning.

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.

A platform for understanding cancer mutations in the context of 3D protein structure.

Visualisation and image production of protein and nucleic acid structures.

Visualization of large-scale macromolecular structure data.