Developing and reusing bioinformatics data analysis pipelines using scientific workflow systems

Data analysis pipelines are now established as an effective means for specifying and executing bioinformatics data analysis and experiments. While scripting languages, particularly Python, R and notebooks, are popular and sufficient for developing small-scale pipelines that are often intended for a...

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Veröffentlicht in:	Computational and structural biotechnology journal Jg. 21; S. 2075 - 2085
Hauptverfasser:	Djaffardjy, Marine, Marchment, George, Sebe, Clémence, Blanchet, Raphaël, Belhajjame, Khalid, Gaignard, Alban, Lemoine, Frédéric, Cohen-Boulakia, Sarah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.01.2023 Elsevier Research Network of Computational and Structural Biotechnology
Schlagworte:	Bioinformatics biotechnology Computer Science empirical research Reproducibility Reuse Review Scientific workflows Scientific workflows Reproducibility Bioinformatics Reuse
ISSN:	2001-0370, 2001-0370
Online-Zugang:	Volltext
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