ArticlePloS one2014
Bioinformatics on the cloud computing platform Azure.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Cloud-Based Service Information System for Evaluating Quality of Life after Breast Cancer Surgery.PloS one · 2015Trial
- Cloud Computing Enabled Big Multi-Omics Data Analytics.Bioinformatics and biology insights · 2021Review
- Hot-starting software containers for STAR aligner.GigaScience · 2018Article
- An incremental anomaly detection model for virtual machines.PloS one · 2017Article
- Viral Diagnostics in Plants Using Next Generation Sequencing: Computational Analysis in Practice.Frontiers in plant science · 2017Review
- A Primer on Infectious Disease Bacterial Genomics.Clinical microbiology reviews · 2016Review
- Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations.BMC bioinformatics · 2016Article
- Novel bioinformatic developments for exome sequencing.Human genetics · 2016Review
- Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm.PloS one · 2016Article
- Smart monitoring and controlling of Pandemic Influenza A (H1N1) using Social Network Analysis and cloud computing.Journal of computational science · 2016Article
- Environmental gradients explain species richness and community composition of coastal breeding birds in the Baltic Sea.PloS one · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We discuss the applicability of the Microsoft cloud computing platform, Azure, for bioinformatics. We focus on the usability of the resource rather than its performance. We provide an example of how R can be used on Azure to analyse a large amount of microarray expression data deposited at the public database ArrayExpress. We provide a walk through to demonstrate explicitly how Azure can be used to perform these analyses in Appendix S1 and we offer a comparison with a local computation. We note that the use of the Platform as a Service (PaaS) offering of Azure can represent a steep learning curve for bioinformatics developers who will usually have a Linux and scripting language background. On the other hand, the presence of an additional set of libraries makes it easier to deploy software in a parallel (scalable) fashion and explicitly manage such a production run with only a few hundred lines of code, most of which can be incorporated from a template. We propose that this environment is best suited for running stable bioinformatics software by users not involved with its development.
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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.