Academic Journal

An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases

التفاصيل البيبلوغرافية
العنوان: An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
المؤلفون: Mallory J. Owen, Sebastien Lefebvre, Christian Hansen, Chris M. Kunard, David P. Dimmock, Laurie D. Smith, Gunter Scharer, Rebecca Mardach, Mary J. Willis, Annette Feigenbaum, Anna-Kaisa Niemi, Yan Ding, Luca Van Der Kraan, Katarzyna Ellsworth, Lucia Guidugli, Bryan R. Lajoie, Timothy K. McPhail, Shyamal S. Mehtalia, Kevin K. Chau, Yong H. Kwon, Zhanyang Zhu, Sergey Batalov, Shimul Chowdhury, Seema Rego, James Perry, Mark Speziale, Mark Nespeca, Meredith S. Wright, Martin G. Reese, Francisco M. De La Vega, Joe Azure, Erwin Frise, Charlene Son Rigby, Sandy White, Charlotte A. Hobbs, Sheldon Gilmer, Gail Knight, Albert Oriol, Jerica Lenberg, Shareef A. Nahas, Kate Perofsky, Kyu Kim, Jeanne Carroll, Nicole G. Coufal, Erica Sanford, Kristen Wigby, Jacqueline Weir, Vicki S. Thomson, Louise Fraser, Seka S. Lazare, Yoon H. Shin, Haiying Grunenwald, Richard Lee, David Jones, Duke Tran, Andrew Gross, Patrick Daigle, Anne Case, Marisa Lue, James A. Richardson, John Reynders, Thomas Defay, Kevin P. Hall, Narayanan Veeraraghavan, Stephen F. Kingsmore
المصدر: Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
بيانات النشر: Nature Portfolio, 2022.
سنة النشر: 2022
المجموعة: LCC:Science
مصطلحات موضوعية: Science
الوصف: Rapid diagnosis and implementation of treatments is crucial in many genetic conditions. Here the authors describe Genome-to-Treatment, a virtual disease management system that can achieve a rapid diagnosis by expedited whole genome sequencing in 13.5 hours and provide guidance to clinicians for possible therapies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2041-1723
Relation: https://doaj.org/toc/2041-1723
DOI: 10.1038/s41467-022-31446-6
URL الوصول: https://doaj.org/article/c8a8f4d045b24f4586c6fb67d44e877e
رقم الانضمام: edsdoj.8a8f4d045b24f4586c6fb67d44e877e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20411723
DOI:10.1038/s41467-022-31446-6