ENCODExplorer

ENCODExplorer provides programmatic access to ENCODE project metadata and datasets for querying, downloading, and integration with Bioconductor/R to support analysis of ENCODE-derived genomic elements, gene regulation, chromatin structure, and transcriptional activity.


Key Features:

  • Access to ENCODE Metadata: Programmatic retrieval of comprehensive ENCODE metadata describing experimental context and dataset quality.
  • Integration with Bioconductor: Interoperability with the Bioconductor ecosystem and the R language for downstream high-throughput genomic data analysis.
  • Querying ENCODE REST API: Helper functions to interact with the ENCODE REST API for targeted programmatic queries and dataset discovery.
  • Data Download and Storage: Functions to download ENCODE files and store metadata or dataset records in SQLite format for local management.
  • Community-Driven Development: Packaged within Bioconductor to accept community contributions and participate in Bioconductor’s review and testing processes.

Scientific Applications:

  • Genomic Data Analysis: Exploration and analysis of ENCODE-identified genomic elements to study gene regulation, chromatin structure, and transcriptional activity.
  • Interdisciplinary Research: Integration of statistical and computational methods from diverse fields via Bioconductor/R to analyze ENCODE datasets.
  • Development of Analysis Software: Support for developing and distributing analysis workflows and packages that operate on ENCODE data within the Bioconductor framework.

Methodology:

Provides helper functions to query the ENCODE REST API, download ENCODE datasets, and store records in SQLite; integrates with Bioconductor/R and participates in Bioconductor’s formal review and continuous automated testing processes.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Publications

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.

Documentation

Downloads