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Related Experiment Videos

Are Next-Generation Sequencing Tools Ready for the Cloud?

Antonio Celesti1, Fabrizio Celesti2, Maria Fazio3

  • 1Scientific Research Organisational Unit, University of Messina, Messina, Italy.

Trends in Biotechnology
|April 2, 2017
PubMed
Summary

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Cloud computing for next-generation sequencing (NGS) is emerging. This article reviews current cloud-based NGS solutions, identifies gaps, and discusses challenges for developing a comprehensive biotechnology cloud ecosystem.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Next-generation sequencing (NGS) generates vast amounts of data.
  • Cloud computing offers scalable infrastructure for data analysis.
  • The integration of NGS and cloud platforms is rapidly evolving.

Purpose of the Study:

  • To assess the current landscape of cloud-based NGS tools.
  • To identify limitations and missing components in existing solutions.
  • To outline future challenges in establishing a biotechnology cloud ecosystem.

Main Methods:

  • Review of existing cloud-based NGS platforms and services.
  • Analysis of current capabilities and limitations.
  • Discussion of future trends and requirements for cloud biotechnology.

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Main Results:

  • Cloud-based NGS tools are in their nascent stages of development.
  • Significant gaps exist in current cloud NGS solutions, hindering a unified ecosystem.
  • Key challenges include data security, standardization, and interoperability.

Conclusions:

  • The development of a robust biotechnology cloud ecosystem requires addressing identified gaps.
  • Future efforts should focus on creating integrated and standardized cloud-based NGS solutions.
  • Overcoming challenges is crucial for advancing cloud-enabled genomic research and applications.