ISoLDE: a data-driven statistical method for the inference of allelic imbalance in datasets with reciprocal crosses.

ABSTRACT:

Motivation

Allelic imbalance (AI), i.e. the unequal expression of the alleles of the same gene in a single cell, affects a subset of genes in diploid organisms. One prominent example of AI is parental genomic imprinting, which results in parent-of-origin-dependent, mono-allelic expression of a limited number of genes in metatherian and eutherian mammals and in angiosperms. Currently available methods for identifying AI rely on data modeling and come with the associated limitations.

Results

We have designed ISoLDE (Integrative Statistics of alleLe Dependent Expression), a novel nonparametric statistical method that takes into account both AI and the characteristics of RNA-seq data to infer allelic expression bias when at least two biological replicates are available for recip

SUBMITTER: Reynes C 

PROVIDER: S-EPMC9883709 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature