Downloads provided by UsageCounts
The arrival of Docker containers has revolutionized the way software is developed, tested and pushed to production. Billions of containers are spawn on a weekly basis to deliver some of the most frequently used web services. We unknowingly benefit from this technology doing a web search on Google at work, on an Uber ride back home and watching our favorite TV shows on Netflix. But, how do we foster the use of containers to boost reproducibility and efficiency in the scientific realm? Following a hands-on Introduction to Docker and Binder, we will briefly explore some example use cases of container technology in creating reproducible computational workflows and mapping them onto supercomputers!
Docker, open-source, MRI, Nextflow, Data visualization
Docker, open-source, MRI, Nextflow, Data visualization
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 15 | |
| downloads | 3 |

Views provided by UsageCounts
Downloads provided by UsageCounts