ChIPseqR
ChIPseqR analyzes ChIP-seq data to identify nucleosome positions and histone modification patterns for high-resolution mapping of protein–DNA interactions and chromatin architecture.
Key Features:
- Versatility: Adapts its model to analyze nucleosome positioning and other ChIP-seq experimental targets beyond transcription factor binding sites.
- High sensitivity and resolution: Improves sensitivity and spatial resolution for more precise identification of protein binding sites and nucleosome locations.
- Specificity maintenance: Preserves high specificity in predictions despite increased sensitivity.
- Comprehensive nucleosome analysis: Facilitates exploration of characteristic patterns in nucleosome sequences and placement to inform chromatin structure studies.
- Histone modification support: Handles histone modification ChIP-seq data explicitly.
- Data types and robustness: Processes high-throughput short-read ChIP-seq sequencing data and performs robust analysis on simulated datasets.
Scientific Applications:
- Protein–DNA interaction mapping: Provides high-resolution maps of protein binding sites and nucleosome positions in genomic studies.
- Epigenetic research: Analyzes histone modification patterns to study influences on gene expression and chromatin architecture.
- Nucleosome dynamics and positioning: Investigates nucleosome placement and dynamics across organisms, including analyses on Arabidopsis thaliana mononucleosomes.
- Chromatin sequence-pattern analysis: Enables examination of characteristic sequence and placement patterns of nucleosomes genome-wide.
Methodology:
Processes high-throughput ChIP-seq short-read sequencing data and simulated datasets to analyze nucleosome positioning and histone modifications.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 12/30/2018
Operations
Data Inputs & Outputs
Protein binding site prediction
Publications
Humburg P, Helliwell CA, Bulger D, Stone G. ChIPseqR: analysis of ChIP-seq experiments. BMC Bioinformatics. 2011;12(1). doi:10.1186/1471-2105-12-39. PMID:21281468. PMCID:PMC3045301.