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The importance of automation in genetic diagnosis: Lessons from analyzing an inherited retinal degeneration cohort with the Mendelian Analysis Toolkit (MATK)
Author(s) -
Erin Zampaglione,
Matthew Maher,
Emily Place,
Naomi E. Wagner,
Stephanie DiTroia,
Katherine R. Chao,
Eleina England,
Broad CMG,
Andrew J. Catomeris,
Sherwin Nassiri,
Seraphim Himes,
Joey Pagliarulo,
Charles Ferguson,
Eglé Galdikaité-Braziené,
Brian Cole,
Eric A. Pierce,
Kinga M. Bujakowska
Publication year - 2021
Publication title -
genetics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.509
H-Index - 128
eISSN - 1530-0366
pISSN - 1098-3600
DOI - 10.1016/j.gim.2021.09.015
Subject(s) - mendelian inheritance , cohort , retinal degeneration , macular degeneration , genetics , bioinformatics , retinal , biology , degeneration (medical) , medicine , computational biology , gene , pathology , ophthalmology
In Mendelian disease diagnosis, variant analysis is a repetitive, error-prone, and time consuming process. To address this, we have developed the Mendelian Analysis Toolkit (MATK), a configurable, automated variant ranking program.

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