<p>EDAM: the ontology of bioinformatics operations, topics, data, and formats (update 2020)</p>

Matúš Kalaš; Hervé Ménager; Alban Gaignard; Veit Schwämmle; Jon Ison; the EDAM contributors and advisors

doi:10.7490/f1000research.1117983.1

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Kalaš M, Ménager H, Gaignard A et al. EDAM: the ontology of bioinformatics operations, topics, data, and formats (update 2020) [version 1; not peer reviewed]. F1000Research 2020, 9(ELIXIR):563 (poster) (https://doi.org/10.7490/f1000research.1117983.1)

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EDAM: the ontology of bioinformatics operations, topics, data, and formats (update 2020)

Matúš Kalaš¹, Hervé Ménager, Alban Gaignard, Veit Schwämmle, Jon Ison, the EDAM contributors and advisors

Published 06 Jun 2020 (https://doi.org/10.7490/f1000research.1117983.1)

Author Affiliations

¹ Computational Biology Unit, Department of Informatics, University of Bergen, Norway

Copyright © 2020 Kalaš M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 06 Jun 2020

EDAM: the ontology of bioinformatics operations, topics, data, and formats (update 2020)
[version 1; not peer reviewed]

Matúš Kalaš¹, Hervé Ménager, Alban Gaignard, Veit Schwämmle, Jon Ison, the EDAM contributors and advisors

Author Affiliations

¹ Computational Biology Unit, Department of Informatics, University of Bergen, Norway

Presented at

ELIXIR All Hands 2020

Lorentz Center workshop on Automated Workflow Composition in the Life Sciences

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Bioinformatics, Computational biology, Biosciences, Life sciences, Terminology, Controlled vocabulary, Ontology, Tools, Software, Training materials, Findability, Integration, Provenance, Reliability, Transparency, Data, Operations, Topics, Data formats, Community effort, Bioimaging, Bioimage informatics, Bioimage analysis, Artificial intelligence, Machine learning, Deep learning, Open data, Open science, Open source, Open collaboration, Reproducible science, EDAM, ELIXIR

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