S3norm: simultaneous normalization of sequencing depth and signal-to-noise ratio in epigenomic data.

ABSTRACT: Quantitative comparison of epigenomic data across multiple cell types or experimental conditions is a promising way to understand the biological functions of epigenetic modifications. However, differences in sequencing depth and signal-to-noise ratios in the data from different experiments can hinder our ability to identify real biological variation from raw epigenomic data. Proper normalization is required prior to data analysis to gain meaningful insights. Most existing methods for data normalization standardize signals by rescaling either background regions or peak regions, assuming that the same scale factor is applicable to both background and peak regions. While such methods adjust for differences in sequencing depths, they do not address differences in the signal-to-noise ratios acr

SUBMITTER: Xiang G 

PROVIDER: S-EPMC7192629 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature