Big data is transforming biomedical research by integrating massive amounts of data from
laboratory experiments, clinical investigations, healthcare records, and the internet of things …

Data science is a rapidly growing field with applications across all scientific domains. The
demand for support in data science literacy is outpacing available resources at college …

Background Sugarcane is the most important sugar crop, contributing> 80% of global sugar
production. High sucrose content is a key target of sugarcane breeding, yet sucrose …

Federal mandates, publishing requirements, and an interest in open science have all
generated renewed attention on research data management and, in particular, data sharing …

Improvements in high-throughput sequencing makes targeted amplicon analysis an ideal
method for the study of human and environmental microbiomes by undergraduates. Multiple …

Computational models are quantitative representations of systems. By analyzing and
comparing the outputs of such models, it is possible to gain a better understanding of the …

Data analysis is constrained by a shortage of skilled experts, particularly in biology, where
detailed data interpretation is vital for understanding complex biological processes and …

Biomedical research is rapidly growing due to inventions and developments in science and
technology. Several interdisciplinary fields should be combined to find the remedy of …

Biomedical researchers are increasingly reliant on obtaining bioinformatics training in order
to conduct their research. Here we present a model that academic institutions may follow to …

Bioinformatics is essential for basic and clinical research. Peer-to-peer (P2P) teaching was
used to respond to the bioinformatics training needs at a research-intensive institution. In …