CoverageView
CoverageView visualizes genome coverage distributions to support interpretation of high-throughput sequencing experiments, including ChIP-seq and genome-wide nucleosome positioning.
Key Features:
- Versatile Application: Supports visualization and analysis of coverage for ChIP-seq, nucleosome positioning, and other high-throughput sequencing experiments.
- Integration with Bioconductor: Implemented within the Bioconductor ecosystem using R and interoperable packages.
- Community-Driven Development: Developed and maintained by a community of scientists contributing code and updates.
- Rigorous Quality Assurance: Packages undergo formal initial review and continuous automated testing within Bioconductor.
Scientific Applications:
- ChIP-seq Analysis: Visualizes binding-site coverage across the genome to support interpretation of DNA–protein interaction experiments.
- Nucleosome Positioning Studies: Maps coverage patterns to assist in identifying nucleosome locations and chromatin organization.
- General Genomic Research: Provides comprehensive coverage profiles for any experiment requiring genome-wide sequence coverage visualization.
Methodology:
Processes and visualizes genomic data using R within the Bioconductor project, integrates various high-throughput sequencing datasets via interoperable packages, and is subject to continuous automated testing.
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
Data Inputs & Outputs
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.