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...

Celý popis

Podrobná bibliografia

Vydané v:	Computational and structural biotechnology journal Ročník 21; s. 2075 - 2085
Hlavní autori:	Djaffardjy, Marine, Marchment, George, Sebe, Clémence, Blanchet, Raphaël, Belhajjame, Khalid, Gaignard, Alban, Lemoine, Frédéric, Cohen-Boulakia, Sarah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.01.2023 Elsevier Research Network of Computational and Structural Biotechnology
Predmet:	Bioinformatics biotechnology Computer Science empirical research Reproducibility Reuse Review Scientific workflows Scientific workflows Reproducibility Bioinformatics Reuse
ISSN:	2001-0370, 2001-0370
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!