Detection of orthologous exons and isoforms using EGIO

Author:

Ma Jinfa12ORCID,Wu Jane Y3ORCID,Zhu Li12ORCID

Affiliation:

1. State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences , Beijing, China

2. College of Life Sciences, University of Chinese Academy of Sciences , Beijing, China

3. Department of Neurology, Center for Genetic Medicine, Lurie Cancer Center, Northwestern University Feinberg School of Medicine , Chicago, IL 60611, USA

Abstract

Abstract Motivation Alternative splicing is an important mechanism to generate transcriptomic and phenotypic diversity. Existing methods have limited power to detect orthologous isoforms. Results We develop a new method, EGIO, to detect orthologous exons and orthologous isoforms from two species. EGIO uses unique exonic regions to construct exon groups, in which process dynamic programming strategy is used to do exon alignment. EGIO could cover all the coding exons within orthologous genes. A comparison between EGIO and ExTraMapper shows that EGIO could detect more orthologous isoforms with conserved sequence and exon structures. We apply EGIO to compare human and chimpanzee protein-coding isoforms expressed in the frontal cortex and identify 6912 genes that express human unique isoforms. Unexpectedly, more human unique isoforms are detected than those conserved between humans and chimpanzees. Availability and implementation Source code and test data of EGIO are available at https://github.com/wu-lab-egio/EGIO. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Natural Science Foundation of China

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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