A software tool 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.
No review has been posted.
No open issue.
Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA; Center for Evolutionary Medicine and Informatics, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA; Genome Mutation and Genetic Disease Group, Wellcome Trust Sanger Institute, Cambridge, UK; School of Life Sciences, Arizona State University, Tempe, Arizona, USA; Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, USA