ENCODE DCC

ENCODE DCC curates and distributes genome-wide functional genomics datasets to catalog functional elements in the human and mouse genomes.

Key Features:

• Central repository: houses high-throughput, genome-wide datasets generated by ENCODE investigators, including ChIP-Seq, RNA-Seq, and DNA digestion assays.
• Sequencing data: provides raw sequencing reads with associated quality scores.
• Read alignments: supplies alignments of sequencing reads to reference genomes.
• Signal tracks: computes signals derived from read alignments.
• Element/peak calls: provides element or peak calls calculated from signal data.
• Uniform processing pipelines: implements uniform data processing pipelines for standardized analyses.
• Metadata capture: records detailed experimental parameters for each assay.
• Integration of assays: incorporates new data and assays into the repository.
• Cell-state indicators: includes datasets relevant to transcription factor-binding sites, histone modifications, chromatin accessibility, DNA methylation, RNA expression, and RNA binding.

Scientific Applications:

• Cataloging functional elements: enabling systematic identification and annotation of functional genomic elements in human and mouse genomes.
• Transcription factor mapping: supporting identification of transcription factor-binding sites from ChIP-Seq data.
• Histone modification profiling: enabling analysis of histone modification patterns across cell types.
• Chromatin and methylation assessment: supporting analyses of chromatin accessibility and DNA methylation states.
• Transcriptome and RNA binding analysis: enabling quantification of RNA expression and mapping of RNA-binding events from RNA-Seq and related assays.
• Standardized downstream analyses: providing consistently processed data for comparative, integrative, and computational method development.

Methodology:

Provision of sequencing reads with quality scores, read alignments, generation of signals from alignments, and element/peak calling performed via uniform data processing pipelines.