Most human diseases have underlying genetic causes. To better understand the impact of
genes on disease and its implications for medicine and public health, researchers have …

Glycoproteomics involves the study of glycosylation events on protein sequences ranging
from purified proteins to whole proteome scales. Understanding these complex post …

The use of the Python programming language for scientific computing has been gaining
momentum in the last years. The fact that it is compact and readable and its complete set of …

Many scientific problems require multiple distinct computational tasks to be executed in
order to achieve a desired solution. We introduce the Ensemble Toolkit (EnTK) to address …

There are many science applications that require scalable task-level parallelism, support for
flexible execution and coupling of ensembles of simulations. Most high-performance system …

In the genomics era computational biologists regularly need to process, analyse and
integrate large and complex biomedical datasets. Analysis inevitably involves multiple …

Background A lack of reproducibility has been repeatedly criticized in computational
research. High throughput sequencing (HTS) data analysis is a complex multi-step process …

Background While next-generation sequencing (NGS) costs have plummeted in recent
years, cost and complexity of computation remain substantial barriers to the use of NGS in …

Identifying genomic variants is a fundamental first step toward the understanding of the role
of inherited and acquired variation in disease. The accelerating growth in the corpus of …

The transfer of genetic material between viruses and eukaryotic cells is pervasive. Somatic
integrations of DNA viruses and retroviruses have been linked to persistent viral infection …