MaGIC: a machine learning tool set and web application for monoallelic gene inference from chromatin.

ABSTRACT:

Background

A large fraction of human and mouse autosomal genes are subject to random monoallelic expression (MAE), an epigenetic mechanism characterized by allele-specific gene expression that varies between clonal cell lineages. MAE is highly cell-type specific and mapping it in a large number of cell and tissue types can provide insight into its biological function. Its detection, however, remains challenging.

Results

We previously reported that a sequence-independent chromatin signature identifies, with high sensitivity and specificity, genes subject to MAE in multiple tissue types using readily available ChIP-seq data. Here we present an implementation of this method as a user-friendly, open-source software pipeline for monoallelic gene inference from chromatin (MaGIC).

SUBMITTER: Vinogradova S 

PROVIDER: S-EPMC6394031 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature