Interoperable and scalable data analysis with microservices: applications in metabolomics

<p><strong>Motivation</strong></p> 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 ar...

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Hlavní autoři:	Emami Khoonsari, P, Moreno, P, Bergmann, S, Burman, J, Capuccini, M, Carone, M, Cascante, M, de Atauri, P, Foguet, C, Gonzalez-Beltran, A, Hankemeier, T, Haug, K, He, S, Herman, S, Johnson, D, Kale, N, Larsson, A, Neumann, S, Peters, K, Pireddu, L, Rocca-Serra, P, Roger, P, Rueedi, R, Ruttkies, C, Sadawi, N, Salek, R, Sansone-Assunta, S, Schober, D, Selivanov, V, Thévenot, E, van Vliet, M, Zanetti, G, Steinbeck, C, Kultima, K, Spjuth, O
Médium:	Journal article
Jazyk:	English
Vydáno:	Oxford University Press 2019

Interoperable and scalable data analysis with microservices: applications in metabolomics

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