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

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.

journal_name

Nat Methods

journal_title

Nature methods

authors

Ramu A,Noordam MJ,Schwartz RS,Wuster A,Hurles ME,Cartwright RA,Conrad DF

doi

10.1038/nmeth.2611

subject

Has Abstract

pub_date

2013-10-01 00:00:00

pages

985-7

issue

10

eissn

1548-7091

issn

1548-7105

pii

nmeth.2611

journal_volume

10

pub_type

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