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AI-enabled precision medicine for data-driven healthcare decisions.

The premier open-source genome browser and annotation engine for vertebrate genomics and comparative analysis.

Ensembl is a comprehensive genomic data platform and infrastructure project developed by the European Bioinformatics Institute (EMBL-EBI) and the Wellcome Sanger Institute. By 2026, it remains a critical cornerstone of global biological research, providing high-quality, automated annotation of vertebrate genomes. Its architecture utilizes a massive relational database system and a robust RESTful API layer, allowing researchers to query genomic assemblies, gene models, and regulatory features. Ensembl's technical edge lies in its Comparative Genomics (Compara) pipeline, which allows for sophisticated orthology and paralogy analysis across hundreds of species. The platform integrates structural variation, phenotype data, and gene expression data from projects like GTEx and ENCODE. For clinical researchers, the Ensembl Variant Effect Predictor (VEP) provides the industry-standard for interpreting the functional consequences of genetic variants. As an open-source initiative, it facilitates global collaboration by providing a decentralized ecosystem for genomic data hosting and tool development, effectively bridging the gap between raw sequencing data and actionable biological insight.
Ensembl is a comprehensive genomic data platform and infrastructure project developed by the European Bioinformatics Institute (EMBL-EBI) and the Wellcome Sanger Institute.
Explore all tools that specialize in visualize genomic data. This domain focus ensures Ensembl delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze genomic sequences. This domain focus ensures Ensembl delivers optimized results for this specific requirement.
Explore all tools that specialize in comparative genomics analysis. This domain focus ensures Ensembl delivers optimized results for this specific requirement.
A powerful toolset for the annotation and analysis of genomic variants, providing SIFT/Polyphen scores, HGVS notation, and regulatory consequences.
An advanced query interface that allows users to extract complex datasets without writing SQL, combining diverse genomic datasets.
Automated pipelines for comparative genomics, generating whole-genome alignments and gene family trees for hundreds of species.
Integrated view of functional elements based on epigenetic data (ChIP-seq, DNase-seq) across multiple cell types.
Allows users to overlay their own private sequencing data onto the Ensembl browser using BigWig or BigBed formats.
Language-agnostic interface providing access to sequences, mappings, and annotations through standard HTTP requests.
Calculates LD between variants using population-scale data from projects like 1000 Genomes.
Access the Ensembl web portal or establish a connection to the public MySQL server (ensembldb.ensembl.org).
Select the target species and genome assembly (e.g., GRCh38.p14 for Human).
Navigate to the 'Region in Detail' view to visualize genomic coordinates and gene tracks.
Use BioMart for batch data extraction based on specific filters (e.g., all genes on Chromosome 1).
Install the VEP (Variant Effect Predictor) command-line tool or use the web interface for variant annotation.
Configure API environment using the Ensembl REST API documentation for programmatic access.
Perform BLAST/BLAT searches to find sequence similarities within the Ensembl database.
Utilize the 'Compara' tools to analyze gene trees and evolutionary relationships between species.
Explore the Regulatory Build to identify promoters, enhancers, and transcription factor binding sites.
Integrate results into downstream pipelines using standard formats like JSON or GFF3.
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"Universally regarded as the gold standard for vertebrate genomic annotation. Praised for its data integrity and API breadth, though some users find the web interface complex."
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