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Updated: May 8, 2026

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
DeNovoGear: de novo indel and point mutation discovery and phasing
Avinash Ramu1, Michiel J Noordam, Rachel S Schwartz
11] Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA. [2].
Abstract:
We present DeNovoGear software for analyzing de novo mutations from familial and somatic tissue sequencing data. DeNovoGear uses likelihood-based error modeling to reduce the false positive rate of mutation discovery in exome analysis and fragment information to identify the parental origin of germ-line mutations. We used DeNovoGear on human whole-genome sequencing data to produce a set of predicted de novo insertion and/or deletion (indel) mutations with a 95% validation rate.
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