The paper introduces a microservices-based framework for scalable data analysis, validated in metabolomics, enabling dynamic scaling and integration of software tools.

Bioinformatics · Mar 8, 2019Peer-reviewedBioinformatics

Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud

Pablo A Moreno, Luca Pireddu, Pierrick Roger, Nuwan Goonasekera, Enis Afgan, Marius van den Beek, Sijin He, Anders O. Larsson, Daniel Schober, Christoph Ruttkies, David Johnson, Philippe Rocca‐Serra, Ralf J. M. Weber, Björn Grüening, Reza M. Salek, , Steffen Neumann

This paper integrates Galaxy with Kubernetes to enable scalable, cloud-agnostic bioinformatics workflows.

bioRxiv · Feb 12, 2019 · PreprintBioinformatics

PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud

Kristian Peters, James Bradbury, Sven Bergmann, Marco Capuccini, Marta Cascante, Pedro de Atauri, Timothy M. D. Ebbels, Carles Foguet, Robert Charles Glen, Alejandra N Gonzalez-Beltran, Ulrich L. Günther, Evangelos Handakas, Thomas Hankemeier, Kenneth Haug, Stephanie Herman, , Christoph Steinbeck

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

GigaScience · Dec 7, 2018Peer-reviewedBioinformatics