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Paper Details

Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5.
Hum Mutat
7
2019
Benign variants, CAGI, CAGI-5, CAGI-5 PCM1, PCM1, PCM1 protein, Participants, benign variants, human, missense, pericentriolar, pericentriolar material, pericentriolar material 1, schizophrenia, single nucleotide polymorphisms
Author NameAffiliation
Marco CarraroUniversity of Padua
Kivilcim OzturkUniversity of California San Diego
Yana BrombergRutgers University
Yana BrombergInstitute for Advanced Study, Technical University of Munich (TUM)
Castrense SavojardoDepartment of Pharmacy and Biotechnology, University of Bologna
Pier Luigi MartelliDepartment of Pharmacy and Biotechnology, University of Bologna
Rita CasadioDepartment of Pharmacy and Biotechnology, University of Bologna
Olivier LichtargeBaylor College of Medicine
Hannah CarterUniversity of California San Diego
Hannah CarterUniversity of California San Diego
Nicholas KatsanisCenter for Human Disease Modeling, Duke University Medical Center
Nicholas KatsanisCenter for Human Disease Modeling, Duke University Medical Center
John MoultInstitute for Bioscience and Biotechnology Research, University of Maryland
John MoultUniversity of Maryland, College Park
Steven E BrennerUniversity of California berkeley
Steven E BrennerUniversity of California berkeley
Carlo FerrariUniversity of Padua
Silvio C E TosattoUniversity of Padua
Silvio C E TosattoLawrence Berkeley National Laboratory
Silvio C E TosattoUniversity of Padua
Silvio C E TosattoLawrence Berkeley National Laboratory
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