Sean S Ephraim1, Nikhil Anand1, Adam P DeLuca1, Kyle R Taylor1, Diana L Kolbe1, Allen C Simpson1, Hela Azaiez1, Christina M Sloan1, A Eliot Shearer2, Andrea R Hallier1, Thomas L Casavant1, Todd E Scheetz1, Richard J H Smith3, Terry A Braun1. 1. Department of Biomedical Engineering, Department of Ophthalmology and Visual Sciences, Department of Electrical and Computer Engineering, Department of Otolaryngology-Head & Neck Surgery, Carver College of Medicine, Department of Molecular Physiology & Biophysics, Carver College of Medicine, Interdisciplinary Graduate Program in Genetics and Iowa Institute for Human Genetics, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA. 2. Department of Biomedical Engineering, Department of Ophthalmology and Visual Sciences, Department of Electrical and Computer Engineering, Department of Otolaryngology-Head & Neck Surgery, Carver College of Medicine, Department of Molecular Physiology & Biophysics, Carver College of Medicine, Interdisciplinary Graduate Program in Genetics and Iowa Institute for Human Genetics, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA Department of Biomedical Engineering, Department of Ophthalmology and Visual Sciences, Department of Electrical and Computer Engineering, Department of Otolaryngology-Head & Neck Surgery, Carver College of Medicine, Department of Molecular Physiology & Biophysics, Carver College of Medicine, Interdisciplinary Graduate Program in Genetics and Iowa Institute for Human Genetics, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA. 3. Department of Biomedical Engineering, Department of Ophthalmology and Visual Sciences, Department of Electrical and Computer Engineering, Department of Otolaryngology-Head & Neck Surgery, Carver College of Medicine, Department of Molecular Physiology & Biophysics, Carver College of Medicine, Interdisciplinary Graduate Program in Genetics and Iowa Institute for Human Genetics, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA Department of Biomedical Engineering, Department of Ophthalmology and Visual Sciences, Department of Electrical and Computer Engineering, Department of Otolaryngology-Head & Neck Surgery, Carver College of Medicine, Department of Molecular Physiology & Biophysics, Carver College of Medicine, Interdisciplinary Graduate Program in Genetics and Iowa Institute for Human Genetics, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA Department of Biomedical Engineering, Department of Ophthalmology and Visual Sciences, Department of Electrical and Computer Engineering, Department of Otolaryngology-Head & Neck Surgery, Carver College of Medicine, Department of Molecular Physiology & Biophysics, Carver College of Medicine, Interdisciplinary Graduate Program in Genetics and Iowa Institute for Human Genetics, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA Department of Biomedical Engineering, Department of Ophthalmology and Visual Sciences, Department of Electrical and Computer Engineering, Department of Otolaryngology-Head & Neck Surgery, Carver College of Medicine, Department of Molecular Physiology & Biophysics, Carver College of Medicine, Interdisciplinary Graduate Program in Genetics and Iowa Institute for Human Genetics, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA.
Abstract
UNLABELLED: Cordova is an out-of-the-box solution for building and maintaining an online database of genetic variations integrated with pathogenicity prediction results from popular algorithms. Our primary motivation for developing this system is to aid researchers and clinician-scientists in determining the clinical significance of genetic variations. To achieve this goal, Cordova provides an interface to review and manually or computationally curate genetic variation data as well as share it for clinical diagnostics and the advancement of research. AVAILABILITY AND IMPLEMENTATION: Cordova is open source under the MIT license and is freely available for download at https://github.com/clcg/cordova. Published by Oxford University Press. This work is written by US Government employees and is in the public domain in the US.
UNLABELLED: Cordova is an out-of-the-box solution for building and maintaining an online database of genetic variations integrated with pathogenicity prediction results from popular algorithms. Our primary motivation for developing this system is to aid researchers and clinician-scientists in determining the clinical significance of genetic variations. To achieve this goal, Cordova provides an interface to review and manually or computationally curate genetic variation data as well as share it for clinical diagnostics and the advancement of research. AVAILABILITY AND IMPLEMENTATION: Cordova is open source under the MIT license and is freely available for download at https://github.com/clcg/cordova. Published by Oxford University Press. This work is written by US Government employees and is in the public domain in the US.
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