Cluster and cloud computing for life sciences

Computational methods are nowadays ubiquitous in the field of bioinformatics and biomedicine. Besides established fields like molecular dynamics, genomics or neuroimaging, new emerging methods rely heavily on large scale computational resources to manage Terabytes or Petabytes of data and TeraFlops or PetaFlops of computing power for simulating highly complex models, or many-task processes and workflows for processing and analysing data.This special issue contains papers presenting novel aspects of security and performance in infrastructures used for applications in the Life Sciences, optimizations for popular applications, such as genomics and pandemic modelling, and contributions related to new algorithms joining machine learning and data processing platforms to increase the efficiency and accuracy of bioinformatics.

Automated summary

Computational methods play a crucial role in bioinformatics and biomedicine, especially in managing large-scale data and simulating complex models. This special issue focuses on security and performance aspects in infrastructure, optimization for popular applications, and the integration of machine learning and data processing platforms to improve the efficiency and accuracy of bioinformatics.