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

Sanjay SonneyJeremy LeipzigMarie T LottShiping ZhangVincent ProcaccioDouglas C WallaceNeal Sondheimer
Published in: PLoS computational biology (2017)
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 www.mitomap.org. The source code for MitoTIP is available at www.github.com/sonneysa/MitoTIP.
Keyphrases
  • copy number
  • mitochondrial dna
  • oxidative stress
  • genome wide
  • dna methylation
  • healthcare
  • gene expression
  • escherichia coli
  • pseudomonas aeruginosa
  • staphylococcus aureus
  • big data
  • data analysis
  • candida albicans