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PriVar: a toolkit for prioritizing SNVs and indels from next-generation sequencing data

  • Lu Zhang
  • , Jing Zhang
  • , Jing Yang
  • , Dingge Ying
  • , Yu Lung Lau
  • , Wanling Yang*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

41 Citations (Scopus)

Abstract

Next-generation sequencing has become a valuable tool for detecting mutations involved in Mendelian diseases. However, it is a challenge to identify the small subset of functionally important mutations from tens of thousands of rare variants in a whole exome/genome. Therefore, we developed a toolkit called PriVar, a systematic prioritization pipeline that takes into consideration calling quality of the variants, their predicted functional impact, known connection of the gene to the disease and the number of mutations in a gene, and inference from linkage analysis.

Original languageEnglish
Pages (from-to)124-125
Number of pages2
JournalBioinformatics
Volume29
Issue number1
Early online date25 Oct 2012
DOIs
Publication statusPublished - Jan 2013

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