Interoperable and scalable data analysis with microservices: applications in metabolomics
Abstract
Developing a robust and performant data analysis workflow that integrates all necessary components whilst still being able to scale over multiple compute nodes is a challenging task. We introduce a generic method based on the microservice architecture, where software tools are encapsulated as Docker containers that can be connected into scientific workflows and executed using the Kubernetes container orchestrator.We developed a Virtual Research...
Paper Details
Title
Interoperable and scalable data analysis with microservices: applications in metabolomics
Published Date
Mar 9, 2019
Journal
Volume
35
Issue
19
Pages
3752 - 3760
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History