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NIGMS Sandbox: a learning platform toward democratizing cloud computing for biomedical research.

Ming Lei¹, Lakshmi K Matukumalli¹, Krishan Arora¹

¹National Institute of General Medical Sciences, National Institutes of Health, 9000 Rockville Pike, Bethesda, Marylnd 20892, USA.

Briefings in Bioinformatics

|October 8, 2024

Summary

This summary is machine-generated.

Biomedical research generates massive datasets requiring high-performance computing (HPC). Equitable access to HPC resources is crucial for future scientific discovery and training the next generation of researchers.

Keywords:

NIGMS Sandbox cloud computing democratizing learning platforms

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Area of Science:

Biomedical Informatics
Computational Biology
Big Data Analytics

Background:

Biomedical data is rapidly increasing in volume and complexity.
Analyzing big data drives research discovery and uncovers novel connections.
High-performance computing (HPC) is essential for processing large biomedical datasets.

Purpose of the Study:

To highlight the growing need for high-performance computing (HPC) in biomedical research.
To identify the challenges institutions face in providing on-premises HPC infrastructure.
To advocate for new approaches for equitable access to HPC resources.

Main Methods:

The study analyzes the current landscape of biomedical big data generation.
It examines the infrastructure and resource challenges faced by research institutions.
It discusses the implications for training future biomedical researchers.

Main Results:

On-premises HPC infrastructure presents significant financial and staffing challenges.
These challenges are particularly acute for primarily undergraduate and minority-serving institutions.
Existing barriers limit access to essential computational resources for many researchers and students.

Conclusions:

Equitable access to HPC is vital for advancing biomedical research.
New strategies are required to overcome infrastructure barriers.
Ensuring broad access to HPC will empower the future biomedical workforce.