A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges
2019
Genome Biology
Challenges are achieving broad acceptance for addressing many biomedical questions and enabling tool assessment. But ensuring that the methods evaluated are reproducible and reusable is complicated by the diversity of software architectures, input and output file formats, and computing environments. To mitigate these problems, some challenges have leveraged new virtualization and compute methods, requiring participants to submit cloud-ready software packages. We review recent data challenges
doi:10.1186/s13059-019-1794-0
pmid:31506093
pmcid:PMC6737594
fatcat:njzmseerufcghihkoiskuqq6km