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 Methodsjournal_title
Nature methodsauthors
Ramu A,Noordam MJ,Schwartz RS,Wuster A,Hurles ME,Cartwright RA,Conrad DFdoi
10.1038/nmeth.2611subject
Has Abstractpub_date
2013-10-01 00:00:00pages
985-7issue
10eissn
1548-7091issn
1548-7105pii
nmeth.2611journal_volume
10pub_type
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