Comparison of in silico tools for splice-altering variant prediction using established spliceogenic variants: an end- user ’ s point of view

HIGHLIGHTS

• who: Woori Jang and collaborators from the Department of Laboratory Medicine, College of Medicine, Inha University, Incheon, Republic of Korea have published the research: Comparison of In Silico Tools for Splice-Altering Variant Prediction Using Established Spliceogenic Variants: An End- User u2019 s Point of View, in the Journal: International Journal of Genomics of 13/Oct/2022
• what: The authors compared different in silico prediction tools using NF1 splice-site altering variants.
• how: The authors evaluated the performance of 8 in silico tools (Splice Site Finder MaxEntScan Splice-site prediction by neural network . . .
  

   

  

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