Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines.
As the biomedical data ecosystem increasingly embraces the findable, accessible, interoperable, and reusable (FAIR) data principles to publish multimodal datasets to the cloud, opportunities for cloud-based research continue to expand. Besides the potential for accelerated and diverse biomedical dis...
Saved in:
| Main Authors: | Seth R Berke, Kanika Kanchan, Mary L Marazita, Eric Tobin, Ingo Ruczinski |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-07-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1013215 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fundamentals and Applications of Fluid Mechanics and Acoustics in Biomedical Engineering
by: Iris Little, et al.
Published: (2024-11-01) -
Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing
by: Asim Abbas, et al.
Published: (2024-05-01) -
Constructing fair-exchange protocols for cloud computing
by: Cai-hui LAN, et al.
Published: (2013-03-01) -
Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges
by: Oliver Faust, et al.
Published: (2025-01-01) -
BioPipeline Creator—a user-friendly Java-based GUI for managing and customizing biological data pipelines
by: Cléo Maia Cordeiro, et al.
Published: (2024-07-01)