Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to
global public health. In recent years, artificial intelligence (AI) has emerged as a …

With the rapid growth of health-related data including genomic, proteomic, imaging and
clinical, the arduous task of data integration can be overwhelmed by the complexity of the …

We present Charon, a cloud-backed storage system capable of storing and sharing big data
in a secure, reliable, and efficient way using multiple cloud providers and storage …

The advent of next-generation sequencing (NGS) machines made DNA sequencing
cheaper, but also put pressure on the genomic life-cycle, which includes aligning millions of …

DNA computing is an emerging field that aims at enabling more efficient data storage and
processing. One principle of DNA computing is to encode some information (eg, image …

Cuneiform is a minimal functional programming language for large-scale scientific data
analysis. Implementing a strict black-box view on external operators and data, it allows the …

Privacy-preservation for sensitive data has become a challenging issue in cloud computing.
Threat modeling as a part of requirements engineering in secure software development …

Effective dataset management is crucial for enterprises to make informed decisions and
remain competitive. However, centralized dataset management approaches often result in …

Genome-wide association studies (GWAS) identify correlations between the genetic variants
and an observable characteristic such as a disease. Previous works presented privacy …

Cloud computing offers the prospect of on-demand, elastic computing, provided as a utility
service, and it is revolutionizing many domains of computing. Compared with earlier …