High-throughput interpretation of gene structure changes in human and nonhuman resequencing data, using ACE
Author(s) -
William H. Majoros,
Michael S. Campbell,
Carson Holt,
Erin DeNardo,
Doreen Ware,
Andrew S. Allen,
Mark Yandell,
Timothy E. Reddy
Publication year - 2016
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/btw799
Subject(s) - biology , genetics , computational biology , locus (genetics) , population , haplotype , gene , genome , context (archaeology) , genotype , paleontology , demography , sociology
The accurate interpretation of genetic variants is critical for characterizing genotype-phenotype associations. Because the effects of genetic variants can depend strongly on their local genomic context, accurate genome annotations are essential. Furthermore, as some variants have the potential to disrupt or alter gene structure, variant interpretation efforts stand to gain from the use of individualized annotations that account for differences in gene structure between individuals or strains.
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