Explainer Bridging Machine Learning and Statistics with the RFlocalfdr approach Genetic analyses aim to deepen our understanding of the genetic architecture of complex diseases including Alzheimer’s disease (AD) and cardiovascular disease, thereby improving the clinical care and treatment of these diseases. The
Explainer LLM Assisted Querying for Health APIs Leveraging the power of LLMs to make APIs more accessible. In this explainer, we iteratively develop a system to understand natural language of user, translate to ontology terms and search across data in a Beacon instance.
Explainer Data sharing in genomics: The Beacon Protocol This Explainer-series is aimed at describing the “Beacon Protocol”
Explainer The Many Ways to the Cloud (Part 2): From on prem to EMR Serverless This Explainer-series is aimed at describing the “many ways to the cloud”
Explainer Scissors, glue or white-out? Using the CRISPR pencil-case Since the original demonstration that CRISPR-Cas9 can be used to induce targeted changes in a cell's genome, there has been an explosion of new versions and variations of different CRISPR systems. While some
Explainer The Many Ways to the Cloud (Part 1): Lift-and-shift This Explainer-series is aimed at describing the “many ways to the cloud”. It help you choose the best way of porting your research onto the cloud. Running your research on public cloud infrastructure
Explainer What is "serverless" and "cloud-native" and when to use it? Can you decide when to strangle your traditional software architectures and move to cloud-native solutions? Let us help you.
Explainer What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning? Helping you decode #AI jargon and demystify the smart technology of the future.
Explainer What is Digital Genome Engineering? New genome engineering technologies have great potential yet face several obstacles. Digital techniques can help overcome these challenges.