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 …

In modern reproducible, hypothesis‐driven plant research, scientists are increasingly relying
on research data management (RDM) services and infrastructures to streamline the …

The bio-manufacturing industry, along with other process industries, now has the opportunity
to be engaged in the latest industrial revolution, also known as Industry 4.0. To successfully …

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 …

The study of plant-environment interactions is a multidisciplinary research field. With the
emergence of quantitative large-scale and high-throughput techniques, amount and …

A personalized approach based on a patient's or pathogen's unique genomic sequence is
the foundation of precision medicine. Genomic findings must be robust and reproducible …

Reproducibility is essential to open science, as there is limited relevance for findings that
can not be reproduced by independent research groups, regardless of its validity. It is …

Major trends in healthcare and life sciences (HCLS) include huge amounts of and
longitudinal patient data, policies on a patient's rights to access and control their data, a …