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Predicting gene structure changes resulting from genetic variants via exon definition features
Author(s) -
William H. Majoros,
Carson Holt,
Michael S. Campbell,
Doreen Ware,
Mark Yandell,
Timothy E. Reddy
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty324
Subject(s) - rna splicing , gene , exon , computational biology , biology , alternative splicing , gene prediction , genetics , genome , splice , coding region , rna
Genetic variation that disrupts gene function by altering gene splicing between individuals can substantially influence traits and disease. In those cases, accurately predicting the effects of genetic variation on splicing can be highly valuable for investigating the mechanisms underlying those traits and diseases. While methods have been developed to generate high quality computational predictions of gene structures in reference genomes, the same methods perform poorly when used to predict the potentially deleterious effects of genetic changes that alter gene splicing between individuals. Underlying that discrepancy in predictive ability are the common assumptions by reference gene finding algorithms that genes are conserved, well-formed and produce functional proteins.

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