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NGS‐Integrator: A Tool for Combining Information from Multiple Genome‐Wide NGS Data Tracks Using Minimum Bayes Factors

Genome‐wide studies that generate multiple high‐throughput next‐generation sequencing (NGS) datasets to identify genomic DNA elements for gene transcription require data integration methods to minimize complexity and false‐positive findings. This can involve integration of multiple genome‐wide data generated from same type or different types of high‐throughput NGS techniques. Since several strategies to integrate multiple genome‐wide NGS datasets based on peak calling tools have been developed, these conventional methods are typically applied to individual replicates and not the aggregate data from multiple data.