DeNovoGear: de novo indel and point mutation discovery and phasing.

Ramu, Avinash; Noordam, Michiel J; Schwartz, Rachel S; Wuster, Arthur; Hurles, Matthew E; Cartwright, Reed A; Conrad, Donald F · Nat Methods · 2013

basic_science · Level V

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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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