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The NanoFlow Repository.
Arce, Jessie E; Welsh, Joshua A; Cook, Sean; Tigges, John; Ghiran, Ionita; Jones, Jennifer C; Jackson, Andrew; Roth, Matthew; Milosavljevic, Aleksandar.
Afiliación
  • Arce JE; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.
  • Welsh JA; Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.
  • Cook S; Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.
  • Tigges J; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, United States.
  • Ghiran I; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, United States.
  • Jones JC; Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.
  • Jackson A; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.
  • Roth M; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.
  • Milosavljevic A; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.
Bioinformatics ; 39(6)2023 06 01.
Article en En | MEDLINE | ID: mdl-37285317
ABSTRACT
MOTIVATION Extracellular particles (EPs) are the focus of a rapidly growing area of exploration due to the widespread interest in understanding their roles in health and disease. However, despite the general need for EP data sharing and established community standards for data reporting, no standard repository for EP flow cytometry data captures rigor and minimum reporting standards such as those defined by MIFlowCyt-EV (https//doi.org/10.1080/20013078.2020.1713526). We sought to address this unmet need by developing the NanoFlow Repository.

RESULTS:

We have developed The NanoFlow Repository to provide the first implementation of the MIFlowCyt-EV framework. AVAILABILITY AND IMPLEMENTATION The NanoFlow Repository is freely available and accessible online at https//genboree.org/nano-ui/. Public datasets can be explored and downloaded at https//genboree.org/nano-ui/ld/datasets. The NanoFlow Repository's backend is built using the Genboree software stack that powers the ClinGen Resource, specifically the Linked Data Hub (LDH), a REST API framework written in Node.js, developed initially to aggregate data within ClinGen (https//ldh.clinicalgenome.org/ldh/ui/about). NanoFlow's LDH (NanoAPI) is available at https//genboree.org/nano-api/srvc. NanoAPI is supported by a Node.js Genboree authentication and authorization service (GbAuth), a graph database called ArangoDB, and an Apache Pulsar message queue (NanoMQ) to manage data inflows into NanoAPI. The website for NanoFlow Repository is built with Vue.js and Node.js (NanoUI) and supports all major browsers.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Programas Informáticos Tipo de estudio: Guideline Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Programas Informáticos Tipo de estudio: Guideline Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article