SPP

SPP detects and refines protein-binding positions from ChIP-seq (Chromatin Immunoprecipitation Sequencing) data to improve spatial precision of binding-site calls and to assess sequencing-depth requirements for genome-wide protein-DNA interaction studies.


Key Features:

  • Improved Tag Alignment: Enhances tag alignment to more accurately localize regions where proteins bind to DNA.
  • Background Signal Correction: Applies background-signal correction to reduce noise and clarify true protein-binding signals.
  • Peak Detection Algorithms: Evaluates and compares three peak-detection algorithms against established methods and incorporates strand-specific information to improve spatial precision.
  • Strand-Asymmetric Tag Analysis: Considers the asymmetric distribution of tags on positive and negative DNA strands to refine binding-position estimates.
  • Sequencing Depth Analysis: Analyzes the relationship between sequencing depth and characteristics of detected binding sites to estimate required depth for desired coverage.
  • R-script Implementation: Provided as R scripts for computational analysis of ChIP-seq data.
  • Validation on Transcription Factors: Applied and validated using data sets from three transcription factors for binding-site identification and characterization.

Scientific Applications:

  • Transcription Factor Binding-Site Identification: Detects and characterizes transcription factor binding sites genome-wide from ChIP-seq data.
  • Protein-DNA Interaction Mapping: Improves mapping of protein-DNA interactions to support studies of gene regulation and epigenetics.
  • Experimental Design and Sequencing Planning: Provides sequencing-depth estimates to optimize ChIP-seq experimental design and coverage for binding-site detection.

Methodology:

Implemented as R scripts that perform improved tag alignment, background-signal correction, comparison of three peak-detection algorithms including strand-specific analysis exploiting asymmetric tag distributions on positive and negative DNA strands, and sequencing-depth analysis relating depth to detected binding-site characteristics.

Topics

Collections

Details

License:
GPL-2.0
Tool Type:
library
Operating Systems:
Linux
Programming Languages:
R
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Kharchenko PV, Tolstorukov MY, Park PJ. Design and analysis of ChIP-seq experiments for DNA-binding proteins. Nature Biotechnology. 2008;26(12):1351-1359. doi:10.1038/nbt.1508. PMID:19029915. PMCID:PMC2597701.

Documentation