Enricherator: A Bayesian Method for Inferring Regularized Genome-wide Enrichments from Sequencing Count Data.

ABSTRACT: A pervasive question in biological research studying gene regulation, chromatin structure, or genomics is where, and to what extent, does a signal of interest arise genome-wide? This question is addressed using a variety of methods relying on high-throughput sequencing data as their final output, including ChIP-seq for protein-DNA interactions,¹ GapR-seq for measuring supercoiling,² and HBD-seq or DRIP-seq for R-loop positioning.^3,4 Current computational methods to calculate genome-wide enrichment of the signal of interest usually do not properly handle the count-based nature of sequencing data, they often do not make use of the local correlation structure of sequencing data, and they do not apply any regularization of enrichment estimates. This can result

SUBMITTER: Schroeder JW 

PROVIDER: S-EPMC11377166 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature