BasicSTARRseq
BasicSTARRseq performs peak calling on STARR-seq data to identify active regulatory elements and regions of transcriptional activity in genomes.
Key Features:
- Peak calling: Identifies genomic peaks from STARR-seq high-throughput sequencing data to localize active regulatory regions.
- Bioconductor integration: Implements analysis within the Bioconductor framework and is compatible with R-based workflows.
- Interoperability: Supports data exchange and analysis alongside other Bioconductor packages and ecosystem components.
- High-throughput sequencing support: Operates on sequencing outputs produced by STARR-seq experiments.
- Quality assurance: Is subject to formal initial review and continuous automated testing to ensure reproducibility of peak-calling results.
Scientific Applications:
- Identification of active regulatory regions: Detects enhancers and other regulatory elements that drive transcriptional activity in STARR-seq experiments.
- Gene regulation studies: Supports investigation of transcriptional regulatory mechanisms by mapping active regulatory landscapes genome-wide.
Methodology:
Performs computational analysis of high-throughput STARR-seq sequencing data with a focus on peak calling, implemented within the Bioconductor/R environment.
Topics
Collections
Details
- License:
- GPL-3.0
- 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.