Simon Bray
University of Freiburg
15 Papers
21 Citations
Simon Bray is an academic researcher from University of Freiburg. The author has contributed to research in topics: Computer science & Workflow. The author has an hindex of 4, co-authored 10 publications.
Chat about Author
Papers
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update
Enis Afgan,Anton Nekrutenko,Björn Grüning,Daniel Blankenberg,Jeremy Goecks,Michael C. Schatz,Alexander E. Ostrovsky,Alexandru Mahmoud,Andrew Lonie,Anna Syme,Anne Fouilloux,Anthony Bretaudeau,Anup Kumar,Arthur C. Eschenlauer,Assunta D. Desanto,Aysam Guerler,Beatriz Serrano-Solano,Bérénice Batut,Bradley W. Langhorst,Bridget Carr,Bryan Raubenolt,Cameron J. Hyde,Catherine J. Bromhead,Christopher B. Barnett,Coline Royaux,Cristóbal L. García Gallardo,Daniel Fornika,Dannon Baker,Dave Bouvier,Dave Clements,David A. de Lima Morais,David Lopez Tabernero,Delphine Larivière,E. Nasr,Federico Zambelli,Florian Heyl,Fotis Psomopoulos,Frederik Coppens,Gareth Price,Gianmauro Cuccuru,Gildas Le Corguillé,Gregory Von Kuster,Gulsum Gudukbay,Helena Rasche,Hans-Rudolf Hotz,Ignacio Eguinoa,Igor V. Makunin,Isuru Ranawaka,James Taylor,Jayadev Joshi,Jennifer Hillman-Jackson,John Chilton,Kaivan Kamali,Keith Suderman,Krzysztof Poterlowicz,Yvan Le Bras,Lucille Lopez-Delisle,Luke Sargent,Madeline E. Bassetti,M. A. Tangaro,Marius van den Beek,Martin Čech,Matthias Bernt,Matthias Fahrner,Mehmet Tekman,Melanie Föll,Michael R. Crusoe,Miguel Angel Roncoroni,N. K. Kucher,Nathaniel Coraor,Nicholas Stoler,Nick Rhodes,Nicola Soranzo,Niko Pinter,Nuwan Goonasekera,Pablo Moreno,Pavankumar Videm,Petera Melanie,Pietro Mandreoli,Pratik D. Jagtap,Qiang Gu,Ralf J. M. Weber,Ross Lazarus,Ruben H.P. Vorderman,Saskia Hiltemann,Sergey Golitsynskiy,Shilpa Garg,Simon Bray,Simon Gladman,Simone Leo,Subina Mehta,Timothy J. Griffin,Vahid Jalili,Yves Vandenbrouck,Vi-Kwei Wen,Vijaykrishna Nagampalli,W. Bacon,W. L. De Koning,Wolf-Martin Maier,P. J. Briggs +99 more
TL;DR: Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools.
The ChemicalToolbox: reproducible, user-friendly cheminformatics analysis on the Galaxy platform.
TL;DR: The ChemicalToolbox provides an intuitive, graphical interface for common tools for downloading, filtering, visualizing and simulating small molecules and proteins, based on Galaxy, an open-source web-based platform which enables accessible and reproducible data analysis.
Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine.
Qiang Gu,Anup Kumar,Simon Bray,Allison L. Creason,Alireza Khanteymoori,Vahid Jalili,Björn Grüning,Jeremy Goecks +7 more
TL;DR: Galaxy-ML as discussed by the authors is a biomedical computational workbench used by tens of thousands of scientists across the world, with a suite of tools for all aspects of supervised machine learning for biomedical data analysis.
Ready-to-use public infrastructure for global SARS-CoV-2 monitoring.
Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring
Wolfgang Maier,Simon Bray,Marius van den Beek,Dave Bouvier,Nathaniel Coraor,Milad Miladi,Babita Singh,Jordi Rambla De Argila,Dannon Baker,Nathan P. Roach,Simon Gladman,Frederik Coppens,Darren P. Martin,Andrew Lonie,Björn Grüning,Sergei L Kosakovsky Pond,Anton Nekrutenko +16 more
TL;DR: The COVID-19 pandemic is the first global health crisis to occur in the age of big genomic data as mentioned in this paper, which is why it is necessary to pull together global computational resources and deliver the best open source tools and analysis workflows within a ready to use, universally accessible resource.