دورية أكاديمية

Remote visualization of large-scale genomic alignments for collaborative clinical research and diagnosis of rare diseases

التفاصيل البيبلوغرافية
العنوان: Remote visualization of large-scale genomic alignments for collaborative clinical research and diagnosis of rare diseases
المؤلفون: Alberto Corvò, Leslie Matalonga, Dylan Spalding, Alexander Senf, Steven Laurie, Daniel Picó-Amador, Marcos Fernandez-Callejo, Ida Paramonov, Anna Foix Romero, Emilio Garcia-Rios, Jorge Izquierdo Ciges, Anand Mohan, Coline Thomas, Andres Felipe Silva Valencia, Csaba Halmagyi, Mallory Ann Freeberg, Ana Töpf, Rita Horvath, Gary Saunders, Ivo Gut, Thomas Keane, Davide Piscia, Sergi Beltran
المصدر: Cell Genomics, Vol 3, Iss 2, Pp 100246- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Genetics
LCC:Internal medicine
مصطلحات موضوعية: genome analysis, exome analysis, data sharing, data visualization, federated infrastructures, remote data access, Genetics, QH426-470, Internal medicine, RC31-1245
الوصف: Summary: The Solve-RD project objectives include solving undiagnosed rare diseases (RD) through collaborative research on shared genome-phenome datasets. The RD-Connect Genome-Phenome Analysis Platform (GPAP), for data collation and analysis, and the European Genome-Phenome Archive (EGA), for file storage, are two key components of the Solve-RD infrastructure. Clinical researchers can identify candidate genetic variants within the RD-Connect GPAP and, thanks to the developments presented here as part of joint ELIXIR activities, are able to remotely visualize the corresponding alignments stored at the EGA. The Global Alliance for Genomics and Health (GA4GH) htsget streaming application programming interface (API) is used to retrieve alignment slices, which are rendered by an integrated genome viewer (IGV) instance embedded in the GPAP. As a result, it is no longer necessary for over 11,000 datasets to download large alignment files to visualize them locally. This work highlights the advantages, from both the user and infrastructure perspectives, of implementing interoperability standards for establishing federated genomics data networks.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2666-979X
العلاقة: http://www.sciencedirect.com/science/article/pii/S2666979X22002099Test; https://doaj.org/toc/2666-979XTest
DOI: 10.1016/j.xgen.2022.100246
الوصول الحر: https://doaj.org/article/f9ee0f23dcd94c7889cc3f95ab5a3d8bTest
رقم الانضمام: edsdoj.f9ee0f23dcd94c7889cc3f95ab5a3d8b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2666979X
DOI:10.1016/j.xgen.2022.100246