Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1101/gr.276963.122 |
Lizenz  |
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| Titel (primär) | The Planemo toolkit for developing, deploying, and executing scientific data analyses in Galaxy and beyond |
| Autor | Bray, S.; Chilton, J.; Bernt, M.
; Soranzo, N.; van den Beek, M.; Batut, B.; Rasche, H.; Čech, M.; Cock, P.J.A.; Grüning, B.; Nekrutenko, A. |
| Quelle | Genome Research |
| Erscheinungsjahr | 2023 |
| Department | BIOINF |
| Band/Volume | 33 |
| Seite von | 261 |
| Seite bis | 268 |
| Sprache | englisch |
| Topic | T9 Healthy Planet |
| Supplements | https://genome.cshlp.org/content/suppl/2023/02/24/gr.276963.122.DC1/Supplemental_Code.tar.gz |
| Abstract | There are thousands of well-maintained high-quality open-source software utilities for all aspects of scientific data analysis. For more than a decade, the Galaxy Project has been providing computational infrastructure and a unified user interface for these tools to make them accessible to a wide range of researchers. To streamline the process of integrating tools and constructing workflows as much as possible, we have developed Planemo, a software development kit for tool and workflow developers and Galaxy power users. Here we outline Planemo's implementation and describe its broad range of functionality for designing, testing, and executing Galaxy tools, workflows, and training material. In addition, we discuss the philosophy underlying Galaxy tool and workflow development, and how Planemo encourages the use of development best practices, such as test-driven development, by its users, including those who are not professional software developers. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23338 |
| Bray, S., Chilton, J., Bernt, M., Soranzo, N., van den Beek, M., Batut, B., Rasche, H., Čech, M., Cock, P.J.A., Grüning, B., Nekrutenko, A. (2023): The Planemo toolkit for developing, deploying, and executing scientific data analyses in Galaxy and beyond Genome Res. 33 , 261 - 268 10.1101/gr.276963.122 |
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