The ENCODE Project aims to interpret the human genome sequence and apply it to understand human biology and improve health. The project integrates multiple technologies to identify and define functional elements in the human genome, including genes, transcripts, and transcriptional regulatory regions, along with their chromatin states and DNA methylation patterns. Standards for high-quality data and novel algorithms are implemented, and data are made available through a freely accessible database. The project includes seven data production centers across 27 institutions, generating genome-wide data on genes, transcripts, and transcriptional regulatory regions. The ENCODE Consortium has developed standards for data quality and reproducibility, and all data and derived results are made publicly available. The project focuses on completing two major classes of annotations: genes and their RNA transcripts, and transcriptional regulatory regions. ENCODE data production efforts prioritize selected cell types, including Tier 1, Tier 2, and Tier 3 cell types. The project has generated comprehensive catalogs of transcripts and gene models, as well as data on DNA methylation, chromatin structure, and transcription factor occupancy. ENCODE data are used to identify and characterize functional elements in the human genome, including promoters, enhancers, silencers, and insulators. The project also includes data on long-range chromatin interactions, protein-RNA interactions, and evolutionary conservation. ENCODE data are available through public repositories and can be accessed via the UCSC Genome Browser and other tools. The project provides a user's guide to the ENCODE data, enabling the interpretation of the human genome.The ENCODE Project aims to interpret the human genome sequence and apply it to understand human biology and improve health. The project integrates multiple technologies to identify and define functional elements in the human genome, including genes, transcripts, and transcriptional regulatory regions, along with their chromatin states and DNA methylation patterns. Standards for high-quality data and novel algorithms are implemented, and data are made available through a freely accessible database. The project includes seven data production centers across 27 institutions, generating genome-wide data on genes, transcripts, and transcriptional regulatory regions. The ENCODE Consortium has developed standards for data quality and reproducibility, and all data and derived results are made publicly available. The project focuses on completing two major classes of annotations: genes and their RNA transcripts, and transcriptional regulatory regions. ENCODE data production efforts prioritize selected cell types, including Tier 1, Tier 2, and Tier 3 cell types. The project has generated comprehensive catalogs of transcripts and gene models, as well as data on DNA methylation, chromatin structure, and transcription factor occupancy. ENCODE data are used to identify and characterize functional elements in the human genome, including promoters, enhancers, silencers, and insulators. The project also includes data on long-range chromatin interactions, protein-RNA interactions, and evolutionary conservation. ENCODE data are available through public repositories and can be accessed via the UCSC Genome Browser and other tools. The project provides a user's guide to the ENCODE data, enabling the interpretation of the human genome.