ChIPanalyser
ChIPanalyser predicts and models transcription factor (TF) binding to DNA using a statistical thermodynamic framework to quantify effects of DNA sequence and accessibility.
Key Features:
- Explainability: Provides explainable models of TF–DNA interactions within a statistical thermodynamic framework.
- Versatility: Predicts TF binding across varied genomic contexts and chromatin states.
- Biological insights: Dissects how chromatin accessibility and sequence specificity shape TF binding profiles.
- Implementation: Implemented as an R/Bioconductor package.
Scientific Applications:
- CTCF: Prefers high-affinity sites primarily located within open chromatin in Drosophila cell lines.
- BEAF-32: Binds most of its high-affinity sites in open chromatin in Drosophila cell lines.
- su(Hw): Binds both open and partially closed chromatin in Drosophila cell lines.
- Ubx (Hox): Binds exclusively within open chromatin in Drosophila.
- Abd-B and Dfd (Hox): Capable of binding both open and partially closed chromatin in Drosophila.
- Chromatin accessibility versus TF concentration: Differences in TF binding profiles across cell lines are driven predominantly by variations in DNA accessibility rather than TF concentration.
Methodology:
Uses a statistical thermodynamic framework; scores potential binding sites with a Position Weight Matrix (PWM); incorporates DNA accessibility; accounts for the number of TFs bound and applies a binding specificity modulator to adjust binding energy or specificity.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/6/2018
- Last Updated:
- 2/11/2021
Operations
Publications
Martin PC, Zabet NR. Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework. Computational and Structural Biotechnology Journal. 2020;18:3590-3605. doi:10.1016/j.csbj.2020.11.006. PMID:33304457. PMCID:PMC7708957.