Genomics · Database
ENCODE
A functional genomics database cataloguing regulatory elements, transcription and chromatin states in human and mouse.
What ENCODE is
The Encyclopaedia of DNA Elements (ENCODE) is a public research project and database founded by the US National Human Genome Research Institute (NHGRI) in 2003 as a follow-up to the Human Genome Project. Its primary objective is to build a comprehensive parts list of functional elements in the human genome, with subsequent phases expanded to include the mouse genome. The project addresses the functional characterisation of non-protein-coding DNA, investigating how promoters, enhancers, transcriptional regulatory sequences, and chromatin modifications modulate gene expression.
The consortium brings together international laboratories organised into production centres, a Data Coordination Centre, and a Data Analysis Centre. Through standardised high-throughput sequencing assays, the project maps biochemical activities across hundreds of cell lines, primary tissues, and developmental stages. By cataloguing candidate cis-regulatory elements, protein-DNA interactions, and RNA transcription events, ENCODE provides foundational reference data to help biomedical researchers understand gene regulation and the molecular mechanisms underlying human health and disease.
How it is organised
ENCODE coordinates experimental production across consortium laboratories, gathering data from primary assays such as chromatin immunoprecipitation sequencing (ChIP-seq), DNase I hypersensitivity mapping, RNA sequencing (RNA-seq), and DNA methylation profiling. Individual laboratories submit experimental parameters and metadata to the Data Coordination Centre (DCC) under formal data agreements. The DCC verifies incoming datasets against biological ontologies and performs quality assurance checks to confirm data integrity and metadata completeness before public release.
In parallel, the Data Analysis Centre standardises computational pipelines across experimental types, generating consistent signal pile-ups, peak calls, and chromatin state segmentations. These analytical protocols classify genomic regions into functional states, such as promoter-like or enhancer-like elements, and produce integrative products including candidate cis-regulatory elements (cCREs). Data and metadata are indexed for exploration through the ENCODE Portal and dedicated tools such as the SCREEN interface and the UCSC Genome Browser.
Key facts
- Initiating organisation
- US National Human Genome Research Institute (NHGRI)
- Launch date
- September 2003
- Organisms covered
- Homo sapiens and Mus musculus
- Core data records
- Experiments, data files, and candidate cis-regulatory elements (cCREs)
- Primary experimental assays
- ChIP-seq, DNase I hypersensitivity, RNA-seq, and DNA methylation assays
- Key analytical interfaces
- ENCODE Portal and ENCODE SCREEN
What you can use it for
- Interpreting non-coding disease variants
- Researchers cross-reference non-coding single nucleotide polymorphisms (SNPs) identified in genome-wide association studies with ENCODE regulatory element annotations to identify candidate causal mechanisms and affected cell types.
- Mapping regulatory elements and promoters
- Scientists query candidate cis-regulatory elements, chromatin accessibility markers, and transcription factor footprints across various cell lines to investigate the transcriptional control of specific genes.
- Analysing transcription factor networks
- Computational biologists use ChIP-seq binding profiles and recognition motif lexicons to model interactions and regulatory feedback loops among human transcription factors.
- Investigating cell-type-specific chromatin states
- Epigenomics researchers examine histone modifications and DNA methylation patterns across distinct tissue types, developmental stages, and differentiated cell lines to assess chromatin architecture.
Query it here
The research agent queries ENCODE directly — no account, no API key — and every answer links back to the record it came from. Ask in plain language and it writes the query.
Strengths and limits
Good at
- Applies strict quality assurance checks and standardised computational processing protocols before data release.
- Provides deeply curated experimental metadata mapped to standardised biological ontologies.
- Integrates diverse functional genomic assays spanning hundreds of cell lines, tissue donors, and developmental stages.
- Offers unrestricted public access to experimental protocols, raw sequencing data, and processed integrative annotations.
Watch out for
- Biochemical activity detected by assays does not necessarily equate to evolutionary conservation or essential physiological function.
- Assay coverage and data density vary across different cell types and tissues.
- Genome coverage remains focused predominantly on human and mouse models.
Questions
Can I search ENCODE without writing code?
Yes. The research agent queries ENCODE directly, with no account or API key, and cites the record behind every answer. Ask in plain language — for a gene, a protein, a compound or a study — and it builds the query for you.
Can I reuse data from ENCODE?
Unrestricted use on release; citation requested. Terms: https://www.encodeproject.org/about/data-use-policy/
What is the difference between ENCODE and the Human Genome Project?
The Human Genome Project focused primarily on determining the linear sequence of human DNA nucleotides. ENCODE acts as an operational follow-up aimed at identifying and mapping the functional and regulatory elements within that sequence, particularly outside protein-coding regions.
Which organisms are represented in ENCODE?
ENCODE focuses predominantly on the human genome, with expansion in later phases to support functional genomic data from the mouse genome.
What types of assays are catalogue in ENCODE?
ENCODE catalogues assays that measure biochemical activity across chromatin and RNA, including ChIP-seq, DNase I hypersensitivity, RNA-seq, DNA methylation assays, single-cell experiments, and functional characterisation assays.
How are candidate cis-regulatory elements accessed?
Candidate cis-regulatory elements (cCREs) and functional genomic tracks can be queried and visualised through the ENCODE Portal and the SCREEN search interface, as well as through public genome browsers such as UCSC.
Written from ENCODE's own website and reference material. Statements citing a figure that does not appear there are removed before publication. Licence and running details come from our registry.