Ringo
Ringo analyzes ChIP-chip (Chromatin Immunoprecipitation combined with DNA microarrays) data to detect enriched genomic regions and support analysis of DNA–protein interactions and histone modifications.
Key Features:
- Data import and quality assessment: Imports ChIP-chip data, including two-color nucleotide microarrays from NimbleGen, and performs quality assessment of raw microarray intensity readings.
- Normalization: Applies normalization methods to adjust for technical variability across samples.
- Visualization: Provides visualization routines for inspection and interpretation of microarray data.
- Detection of enriched genomic regions: Detects genomic regions with significant enrichment in ChIP-chip experiments to identify potential binding sites and modifications.
- Integration with Bioconductor: Uses Bioconductor data structures such as RGList and ExpressionSet for compatibility with other Bioconductor packages.
- Workflow construction: Supports construction of programmed analysis workflows to enable reproducible analyses.
- Scalability and reproducibility: Provides scalability to handle large datasets and a structured approach that supports reproducible analyses.
Scientific Applications:
- Gene regulation: Identification of DNA–protein interactions and histone modification patterns relevant to gene regulatory mechanisms.
- Epigenetics: Mapping of histone modifications and chromatin marks for epigenetic studies.
- Chromatin dynamics: Profiling of chromatin dynamics through identification and localization of enriched genomic regions.
- Comparative analyses: Enabling comparative analyses with related datasets via integration with Bioconductor packages and data structures.
Methodology:
Computational steps explicitly include importing ChIP-chip microarray data (including two-color NimbleGen), quality assessment of raw intensities, normalization, visualization, detection of enriched genomic regions, use of Bioconductor data structures (RGList, ExpressionSet), and construction of programmed, reproducible analysis workflows.
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:
- 12/24/2018
Operations
Publications
Toedling J, Sklyar O, Huber W. Ringo – an R/Bioconductor package for analyzing ChIP-chip readouts. BMC Bioinformatics. 2007;8(1). doi:10.1186/1471-2105-8-221. PMID:17594472. PMCID:PMC1906858.