Most bioinformatics software used for genomic analysis is experimental in nature and has a relatively high failure rate. In addition, cloud infrastructure itself, when run at scale, is prone to system crashes. These setbacks mean that big biomedical data analysis can take a long time and incur huge costs. To solve these problems, Sergei Yakneen, Jan Korbel, and colleagues at EMBL developed a system that identifies and fixes crashes efficiently.
Click here for original story, Analysis of human genomes in the cloud
Source: Phys.org