Whole genome sequencing (WGS) of Mycobacterium tuberculosis has rapidly progressed
from a research tool to a clinical application for the diagnosis and management of …

Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

An increasing number of researchers support reproducibility by including pointers to and
descriptions of datasets, software and methods in their publications. However, scientific …

Computational workflows describe the complex multi-step methods that are used for data
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …

Background The automation of data analysis in the form of scientific workflows has become
a widely adopted practice in many fields of research. Computationally driven data-intensive …

Recording the provenance of scientific computation results is key to the support of
traceability, reproducibility and quality assessment of data products. Several data models …

Provenance is information describing the lineage of an object, such as a dataset or
biological material. Since these objects can be passed between organizations, each …

Data commons collate data with cloud computing infrastructure and commonly used
software services, tools, and applications to create biomedical resources for the large-scale …

PURPOSE The purpose of OncoMX knowledgebase development was to integrate cancer
biomarker and relevant data types into a meta-portal, enabling the research of cancer …

Background The record of the origin and the history of data, known as provenance, holds
importance. Provenance information leads to higher interpretability of scientific results and …