CPModule

CPModule integrates ChIP-Seq data with in silico analysis to detect biologically relevant cis-regulatory modules (CRMs) and refine transcription factor combinatorial interactions.

Key Features:

• ChIP-Seq integration: Integrates chromatin immunoprecipitation sequencing (ChIP-Seq) data with computational in silico CRM detection.
• Query-based TF mode: Implements a query-based mode that uses transcription factor (TF) binding information from ChIP experiments to guide CRM detection.
• Region narrowing: Narrows candidate genomic regions to ChIP-enriched areas where TF binding sites are likely located.
• Assayed-TF restriction: Restricts valid CRM candidates to those containing the assayed TF, reducing spurious predictions.
• Scalability for ChIP-Seq: Handles large ChIP-Seq datasets and incorporates CRM-specific considerations for ChIP-based data.
• Recovery of known combinatorial patterns: Recovers known combinatorial regulation patterns among TFs, demonstrated on mouse embryonic stem cell self-renewal ChIP-Seq datasets involving five key TFs.
• TRANSFAC-based prediction: Facilitates prediction of combinatorial interactions between assayed TFs and other transcription factors documented in the TRANSFAC database.

Scientific Applications:

• CRM identification in ChIP-Seq: Identification of biologically relevant cis-regulatory modules (CRMs) within ChIP-Seq datasets.
• Transcriptional regulation analysis: Analysis of transcriptional regulation and combinatorial gene control driven by TF interactions.
• Stem cell regulatory studies: Analysis of combinatorial TF regulation in mouse embryonic stem cell self-renewal, recovering known interactions among five key TFs.
• TF interaction prediction: Prediction and prioritization of novel TF combinatorial interactions using annotations from the TRANSFAC database.

Methodology:

Integrates ChIP-Seq TF binding information with in silico CRM detection in a query-based mode that narrows candidate genomic regions to ChIP-enriched sites and restricts candidate CRMs to those containing the assayed TF, with considerations for large ChIP-Seq datasets.