JAMM

JAMM identifies peaks in next-generation sequencing (NGS) datasets by jointly analyzing biological replicates to determine enrichment site locations and widths.

Key Features:

• Integration of Biological Replicates: JAMM incorporates multiple biological replicates to improve spatial resolution and consistency of detected peaks.
• Accurate Determination of Enrichment Site Widths: JAMM estimates enrichment site widths to enable precise characterization of genomic regions.
• Resolution of Neighboring Narrow Peaks: JAMM resolves closely situated narrow peaks to distinguish adjacent enrichment events.
• Universal Applicability: JAMM is applicable across diverse NGS datasets, including ChIP-seq and ATAC-seq experiments.
• Performance: Empirical evaluations report high site detection accuracy and precision in estimating enrichment site widths.

Scientific Applications:

• ChIP-seq peak identification: JAMM can be used to detect transcription factor or histone modification enrichment sites from ChIP-seq data.
• ATAC-seq accessibility mapping: JAMM can be applied to identify open chromatin regions from ATAC-seq datasets.
• General NGS peak finding: JAMM supports peak detection in other NGS-based assays requiring high-resolution enrichment site localization.

Methodology:

JAMM employs a mixture model clustering approach to jointly analyze replicate NGS data and determine enrichment site widths, enabling resolution of neighboring peaks.