"Analysis of Allele Specific Expression - A Survey" by Feng Gu and Xue Wang

Article Title

Analysis of Allele Specific Expression - A Survey

Authors

Feng Gu, the Department of Computer Science, The College of Staten Island, The City University of New York, Staten Island, NY 10314, USA.
Xue Wang, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.

Keywords

allele specific expression, cellular phenotypes, sequencing technologies, Single Nucleotide Polymorphism (SNP), Single Nucleotide Variant (SNV), allele specific expression, statistical methods, transcripts

Abstract

Allele specific expression is essential for cellular programming and development and the diversity of cellular phenotypes. Traditional analysis methods utilize RNA and depend on single nucleotide polymorphisms, thus to suffer from limited amount of materials for analysis. The rapid development of next-generation sequencing technologies provides more comprehensive and powerful approaches to analyze the genomic, epigenetic, and transcriptomic data, and further to detect and measure allele specific expressions. It will potentially enhance the understanding of the allele specific expressions, their complexities, and the effect on biological processes. In this paper, we extensively review the state-of-art enabling technologies and tools to analyze, detect, and measure allele specific expressions, compare their features, and point out the future trend of the methods.