Cloud-based scientific workflow systems can play an important role in the development of
cost-effective bioinformatics analysis applications. There are differences in the cost control …

Autoscalers exploit cloud-computing elasticity to cope with the dynamic computational
demands of scientific workflows. Autoscalers constantly acquire or terminate virtual …

Social media has been playing a vital importance in information sharing at massive scale
due to its easy access, low cost, and faster dissemination of information. Its competence to …

Provenance metadata captures history of derivation of an entity, such as a dataset obtained
through numerous data transformations. It is of great importance for science, among other …

Scientific experiments in bioinformatics are often executed as computational workflows. Data
provenance involves documenting the history, and the paths of the input data, from the …

Genome-wide association study (GWAS) has become an essential method to reveal the
genetic mechanism of complex diseases. In the past decade, the research on GWAS …

With the development of data transactions, data security issues have become increasingly
important. For example, the copyright authentication and provenance of data have become …

The application of big data requires effective tracing of data transmission and flow
processes, so as to achieve effective determination of data authenticity and security. If …

Abstract In Big Data environments, reliability of data plays an important role to determine
trustworthiness of the outcomes of an analysis. Big data provenance ensures the reliability of …

Phylogenomic experiments provide the basis for evolutionary biology inferences. They are
data-and CPU-intensive by nature and aim at producing phylogenomic trees based on an …