DeNovoGear: Estimating de novo mutations from related individuals and cells

DeNovoGear is az software for analyzing de novo mutations from familial and somatic tissue sequencing data. It 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. DeNovoGear has been used on human whole-genome sequencing data to produce a set of predicted de novo insertion and/or deletion (indel) mutations.

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