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Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP.

Authors :
Sonney, Sanjay
Leipzig, Jeremy
Lott, Marie T.
Zhang, Shiping
Procaccio, Vincent
Wallace, Douglas C.
Sondheimer, Neal
Source :
PLoS Computational Biology; 12/11/2017, Vol. 13 Issue 12, p1-8, 8p
Publication Year :
2017

Abstract

Novel or rare variants in mitochondrial tRNA sequences may be observed after mitochondrial DNA analysis. Determining whether these variants are pathogenic is critical, but confirmation of the effect of a variant on mitochondrial function can be challenging. We have used available databases of benign and pathogenic variants, alignment between diverse tRNAs, structural information and comparative genomics to predict the impact of all possible single-base variants and deletions. The Mitochondrial tRNA Informatics Predictor (MitoTIP) is available through MITOMAP at . The source code for MitoTIP is available at . [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1553734X
Volume :
13
Issue :
12
Database :
Complementary Index
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
126688349
Full Text :
https://doi.org/10.1371/journal.pcbi.1005867