Peakzilla

Peakzilla identifies transcription factor binding sites at high resolution from ChIP-seq data to map regulatory elements and resolve closely spaced binding events.

Key Features:

• High-Resolution Identification: Resolves closely spaced transcription factor (TF) binding sites in ChIP-seq data to separate adjacent binding events.
• Enhanced Discrimination of Functional Sites: Differentiates signatures of functional transcriptional enhancers from abundant non-functional or neutral TF binding sites.
• Automated Parameter Estimation: Automatically estimates necessary parameters directly from the input ChIP-seq data for peak detection.
• Empirical Validation: Demonstrated on semisynthetic datasets and on ChIP-seq experiments targeting the TF Twist in Drosophila embryos with varying fragment sizes.

Scientific Applications:

• Mapping Transcription Factor Binding: Precise localization of TF binding sites to support studies of transcriptional regulation.
• Enhancer Characterization: Identification and discrimination of functional enhancers versus non-functional binding events in regulatory genomics.
• Drosophila Developmental Studies: Analysis of Twist ChIP-seq data in Drosophila embryos to investigate developmental regulatory networks.

Methodology:

Automatically estimates all required parameters from input ChIP-seq data and was validated using semisynthetic datasets and ChIP-seq experiments targeting Twist in Drosophila embryos with varying fragment sizes.