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.

Links