Are Next-Generation Sequencing Tools Ready for the Cloud?

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Antonio Celesti, Fabrizio Celesti, Maria Fazio, Placido Bramanti, Massimo Villari

Author Information

Antonio Celesti: Scientific Research Organisational Unit, University of Messina, Messina, Italy. Electronic address: acelesti@unime.it.
Fabrizio Celesti: Department of Biomedical and Dental Sciences and Morphofunctional Images, University of Messina, Messina, Italy.
Maria Fazio: Department of Engineering, University of Messina, Messina, Italy.
Placido Bramanti: IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy.
Massimo Villari: Department of Engineering, University of Messina, Messina, Italy; IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy.

PMID: 28363406 DOI: 10.1016/j.tibtech.2017.03.005

Cloud-based next-generation sequencing (NGS) tools are currently at an early stage. In this Forum article, we provide a clear picture of the current cloud-based NGS solutions and highlight what is still missing, along with future challenges for the achievement of an ecosystem of biotechnology clouds.

Animals

Cloud Computing

High-Throughput Nucleotide Sequencing

Humans

Journal Article Review

Cloud Computing for Metagenomics: Building a Personalized Computational Platform for Pipeline Analyses.Building a Science Gateway For Processing and Modeling Sequencing Data Via Apache Airavata.Controlling my genome with my smartphone: first clinical experiences of the PROMISE system.

OpenLB
Open Library of Bioscience