Cargando…
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...
Autores principales: | Djaffardjy, Marine, Marchment, George, Sebe, Clémence, Blanchet, Raphael, Bellajhame, Khalid, Gaignard, Alban, Lemoine, Frédéric, Cohen-Boulakia, Sarah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030817/ https://www.ncbi.nlm.nih.gov/pubmed/36968012 http://dx.doi.org/10.1016/j.csbj.2023.03.003 |
Ejemplares similares
-
Reprohackathons: promoting reproducibility in bioinformatics through training
por: Cokelaer, Thomas, et al.
Publicado: (2023) -
Distilling structure in Taverna scientific workflows: a refactoring approach
por: Cohen-Boulakia, Sarah, et al.
Publicado: (2014) -
FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards
por: Gaignard, Alban, et al.
Publicado: (2023) -
Scientific workflow systems: Pipeline Pilot and KNIME
por: Warr, Wendy A.
Publicado: (2012) -
biogitflow: development workflow protocols for bioinformatics pipelines with git and GitLab
por: Kamoun, Choumouss, et al.
Publicado: (2021)