Interoperable and scalable data analysis with microservices: applications in metabolomics

MOTIVATION: 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 encapsulat...

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Detalles Bibliográficos
Autores principales: Emami Khoonsari, Payam, Moreno, Pablo, Bergmann, Sven, Burman, Joachim, Capuccini, Marco, Carone, Matteo, Cascante, Marta, de Atauri, Pedro, Foguet, Carles, Gonzalez-Beltran, Alejandra N, Hankemeier, Thomas, Haug, Kenneth, He, Sijin, Herman, Stephanie, Johnson, David, Kale, Namrata, Larsson, Anders, Neumann, Steffen, Peters, Kristian, Pireddu, Luca, Rocca-Serra, Philippe, Roger, Pierrick, Rueedi, Rico, Ruttkies, Christoph, Sadawi, Noureddin, Salek, Reza M, Sansone, Susanna-Assunta, Schober, Daniel, Selivanov, Vitaly, Thévenot, Etienne A, van Vliet, Michael, Zanetti, Gianluigi, Steinbeck, Christoph, Kultima, Kim, Spjuth, Ola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761976/
https://www.ncbi.nlm.nih.gov/pubmed/30851093
http://dx.doi.org/10.1093/bioinformatics/btz160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761976/
https://www.ncbi.nlm.nih.gov/pubmed/30851093
http://dx.doi.org/10.1093/bioinformatics/btz160

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