Global inference of disease-causing single nucleotide variants from exome sequencing data

Lignende værker

• Prioritization Of Nonsynonymous Single Nucleotide Variants For Exome Sequencing Studies Via Integrative Learning On Multiple Genomic Data
  af: Wu, Mengmeng, et al.
  Udgivet: (2015)
• Integrating multiple genomic data to predict disease-causing nonsynonymous single nucleotide variants in exome sequencing studies.
  af: Jiaxin Wu, et al.
  Udgivet: (2014-03-01)
• Integrating Multiple Genomic Data to Predict Disease-Causing Nonsynonymous Single Nucleotide Variants in Exome Sequencing Studies
  af: Wu, Jiaxin, et al.
  Udgivet: (2014)
• Leveraging multiple genomic data to prioritize disease-causing indels from exome sequencing data
  af: Wu, Mengmeng, et al.
  Udgivet: (2017)
• A clinical survey of mosaic single nucleotide variants in disease-causing genes detected by exome sequencing
  af: Cao, Ye, et al.
  Udgivet: (2019)