ArticlePLoS computational biology2018
Cloud computing applications for biomedical science: A perspective.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Radiation Oncology-Biology Integration Network: Bridging the Gap between Biological Research and Clinical Practice.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Review
- A Perspective on Software Intelligence for Autonomous Transformations in Biomedical Data and Knowledge.Learning health systems · 2026Article
- Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines.PLoS computational biology · 2025Article
- Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard.NAR genomics and bioinformatics · 2024Article
- Whole-genome bisulfite sequencing data analysis learning module on Google Cloud Platform.Briefings in bioinformatics · 2024Article
- Review
- Medicare meets the cloud: the development of a secure platform for the storage and analysis of claims data.JAMIA open · 2024Article
- A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments.Scientific data · 2024Article
- Open Data governance at the Canadian Open Neuroscience Platform (CONP): From the Walled Garden to the Arboretum.GigaScience · 2024Article
- Creating cloud platforms for supporting FAIR data management in biomedical research projects.F1000Research · 2024Article
- COWID: an efficient cloud-based genomics workflow for scalable identification of SARS-COV-2.Briefings in bioinformatics · 2023Article
- Diversifying the genomic data science research community.Genome research · 2022Review
- The Biomedical Research Hub: a federated platform for patient research data.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Current Status of Next-Generation Sequencing Approaches for Candidate Gene Discovery in Familial Parkinson´s Disease.Frontiers in genetics · 2022Article
- Generation of Centered Log-Ratio Normalized Antibody-Derived Tag Counts from Large Single-Cell Sequencing Datasets.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Overcoming Data Bottlenecks in Genomic Pathogen Surveillance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Orchestrating an Optimized Next-Generation Sequencing-Based Cloud Workflow for Robust Viral Identification during Pandemics.Biology · 2021Article
- Resolution-based distillation for efficient histology image classification.Artificial intelligence in medicine · 2021Article
- Data Integration Challenges for Machine Learning in Precision Medicine.Frontiers in medicine · 2021Review
- Arioc: High-concurrency short-read alignment on multiple GPUs.PLoS computational biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable computing, storage, and network infrastructure, which has traditionally been purchased, supported, and maintained locally. For certain types of biomedical applications, cloud computing has emerged as an alternative to locally maintained traditional computing approaches. Cloud computing offers users pay-as-you-go access to services such as hardware infrastructure, platforms, and software for solving common biomedical computational problems. Cloud computing services offer secure on-demand storage and analysis and are differentiated from traditional high-performance computing by their rapid availability and scalability of services. As such, cloud services are engineered to address big data problems and enhance the likelihood of data and analytics sharing, reproducibility, and reuse. Here, we provide an introductory perspective on cloud computing to help the reader determine its value to their own research.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.