02 / OMICS & EVIDENCE

Omics & data

Explore genomics, single-cell analysis, and multi-omics through public data and analysis methods.

Start with these resources

Database

Find protein sequences, functional annotations and identifier mappings, with links to related biological data.

Source · UniProt ConsortiumView resource details →

Tool

Analyze single-cell data in Python, from preprocessing and visualization to clustering and differential expression.

Source · scverse · Scanpy projectView resource details →

Platform

An R-centered ecosystem of analysis packages, annotations and reproducible workflows for biological data.

Source · Bioconductor projectView resource details →

Database

Explore genomes, gene annotations, variation and comparative genomics in a shared browsing environment.

Source · EMBL-EBI · Ensembl projectView resource details →

Database

A public single-cell RNA data resource. Query cells and genes, then bring selected data into Python or R.

Source · CZ CELLxGENE projectView resource details →

Platform

Explore biological datasets, AI models and task benchmarks through a shared platform for model use and evaluation.

Source · Biohub · Virtual Cells PlatformView resource details →

Tool

Use pretrained models for single-cell analysis, including cell representations, annotation and perturbation prediction.

Source · Wang Lab · scGPT projectView resource details →

Tool

Analyze single-cell perturbation experiments, organize data and metadata, and compare cellular responses to perturbations.

Source · scverse · Pertpy projectView resource details →

Workflow

Community-maintained Nextflow pipelines and components for portable, reproducible bioinformatics analysis.

Source · nf-core communityView resource details →

Platform

Build analyses in a web interface, keep a record of each step and share data, results and workflows.

Source · Galaxy communityView resource details →