CSDeconv
CSDeconv applies blind deconvolution to ChIP-seq data to perform high-resolution identification of transcription factor binding sites and resolve closely spaced binding events.
Key Features:
- Blind Deconvolution Approach: Analyzes ChIP-seq signals using a blind deconvolution strategy that does not require prior knowledge of binding site locations.
- High Resolution and Accuracy: Identifies transcription factor binding sites separated by as few as 40 base pairs (bp).
- Application Across Species: Demonstrated on DosR binding in Mycobacterium tuberculosis and on GABP (GA-binding protein) data in human ChIP-seq datasets.
Scientific Applications:
- Gene regulation studies: Enables precise mapping of transcription factor binding sites to investigate regulatory mechanisms and transcriptional regulation linked to biological processes and disease.
- Analysis of densely packed regulatory regions: Resolves closely spaced binding events to facilitate detailed analysis of complex regulatory networks, exemplified by DosR in Mycobacterium tuberculosis and GABP in humans.
Methodology:
Performs blind deconvolution of ChIP-seq data without requiring prior knowledge of binding site locations to unbiasedly identify and distinguish closely spaced transcription factor binding sites.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- MATLAB
- Added:
- 12/18/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Lun DS, Sherrid A, Weiner B, Sherman DR, Galagan JE. A blind deconvolution approach to high-resolution mapping of transcription factor binding sites from ChIP-seq data. Genome Biology. 2009;10(12). doi:10.1186/gb-2009-10-12-r142. PMID:20028542. PMCID:PMC2812949.