Author

Simon A. Bray

University of FreiburgORCID 0000-0002-0621-6705Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:software / tool· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Björn Andreas GrüningiD· 3 shared Anton NekrutenkoiD· 2 shared Marius van den BeekiD· 2 shared Alireza KhanteymooriiD· 1 shared Allison CreasoniD· 1 shared Andrew J. LonieiD· 1 shared Anup KumariD· 1 shared Babita SinghiD· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBioinformatics

Björn Andreas GrüningORCID

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3 papers

Recent·Most cited

Planemo: a command-line toolkit for developing, deploying, and executing scientific data analyses

Simon A. Bray, John M. Chilton, Matthias Bernt, Nicola Soranzo, Marius van den Beek, Bérénice Batut, Helena Rasche, Martin Čech, Peter Cock, Björn Andreas Grüning, Anton Nekrutenko

Planemo is a command-line toolkit for developing, deploying, and executing Galaxy tools and workflows, promoting best practices in scientific data analysis.

Genome Research · Feb 1, 2023Peer-reviewedBioinformatics

Accessible, Reproducible, and Scalable Machine Learning for Biomedicine

Qiang Gu, Anup Kumar, Simon A. Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Andreas Grüning, Jeremy Goecks

The paper introduces Galaxy-ML, a web-based platform for reproducible and scalable supervised machine learning in biomedicine, extending the Galaxy computational workbench.

PLoS Computational Biology · Jun 1, 2021Peer-reviewedBioinformatics

Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring

Wolfgang Maier, Simon A. Bray, Marius van den Beek, Dave Bouvier, Nathan Coraor, Milad Miladi, Babita Singh, Jordi Rambla, Dannon Baker, Nathan P. Roach, Simon L. Gladman, Frederik Coppens, Darren Patrick Martin, Andrew J. Lonie, Björn Andreas Grüning, , Anton Nekrutenko

The paper presents a global, community-maintained platform for analyzing SARS-CoV-2 genomic data, demonstrating its utility in variant detection and reanalysis of existing datasets.

bioRxiv · Mar 25, 2021 · PreprintBioinformatics