ArticleGenome medicine2010
Translational bioinformatics in the cloud: an affordable alternative.
Article in Genome medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Characterizing core outcomes of responsible stewardship for human genomic data in the cloud.BMC medical genomics · 2026Article
- HealtheDataLab - a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions.BMC medical informatics and decision making · 2020Article
- GenomeVIP: a cloud platform for genomic variant discovery and interpretation.Genome research · 2017Article
- A case study for cloud based high throughput analysis of NGS data using the globus genomics system.Computational and structural biotechnology journal · 2015Article
- Needs Assessment for Research Use of High-Throughput Sequencing at a Large Academic Medical Center.PloS one · 2015Article
- Article
- Parallel classification and feature selection in microarray data using SPRINT.Concurrency and computation : practice & experience · 2014Article
- Unifying immunology with informatics and multiscale biology.Nature immunology · 2014Review
- Bacterial genome sequencing in the clinic: bioinformatic challenges and solutions.Nature reviews. Genetics · 2014Review
- Toward a web-based real-time radiation treatment planning system in a cloud computing environment.Physics in medicine and biology · 2013Article
- GobyWeb: simplified management and analysis of gene expression and DNA methylation sequencing data.PloS one · 2013Article
- Scientific research in the age of omics: the good, the bad, and the sloppy.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Cloud prediction of protein structure and function with PredictProtein for Debian.BioMed research international · 2013Article
- Bioinformatics clouds for big data manipulation.Biology direct · 2012Review
- Pharmacogenomics and individualized medicine: translating science into practice.Clinical pharmacology and therapeutics · 2012Article
- An initial log analysis of usage patterns on a research networking system.Clinical and translational science · 2012Article
- Translational bioinformatics: linking the molecular world to the clinical world.Clinical pharmacology and therapeutics · 2012Review
- Opportunities and challenges for the life sciences community.Omics : a journal of integrative biology · 2012Article
- Opportunities and challenges of cloud computing to improve health care services.Journal of medical Internet research · 2011Article
- Toward real-time Monte Carlo simulation using a commercial cloud computing infrastructure.Physics in medicine and biology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
With the continued exponential expansion of publicly available genomic data and access to low-cost, high-throughput molecular technologies for profiling patient populations, computational technologies and informatics are becoming vital considerations in genomic medicine. Although cloud computing technology is being heralded as a key enabling technology for the future of genomic research, available case studies are limited to applications in the domain of high-throughput sequence data analysis. The goal of this study was to evaluate the computational and economic characteristics of cloud computing in performing a large-scale data integration and analysis representative of research problems in genomic medicine. We find that the cloud-based analysis compares favorably in both performance and cost in comparison to a local computational cluster, suggesting that cloud computing technologies might be a viable resource for facilitating large-scale translational research in genomic medicine.
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.