Cloud Computing for Metagenomics: Building a Personalized Computational Platform for Pipeline Analyses.

Martin Callaghan

Author Information

Martin Callaghan: School of Computing, University of Leeds, Leeds, UK. m.callaghan@leeds.ac.uk.

PMID: 37258867 DOI: 10.1007/978-1-0716-3072-3_13

Cloud Computing services such as Microsoft Azure, Amazon Web Services, and Google Cloud provide a range of tools and services that enable scientists to rapidly prototype, build, and deploy platforms for their computational experiments.This chapter describes a protocol to deploy and configure an Ubuntu Linux Virtual Machine in the Microsoft Azure cloud, which includes Minconda Python, a Jupyter Lab server, and the QIIME toolkit configured for access through a web browser to facilitate a typical metagenomics analysis pipeline.

Azure Cloud Jupyter Metagemomics Python QIIME

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QIIME 2 development team (2021) Qiime2. https://qiime2.org . Accessed 23 Feb 2021

Software

Metagenomics

Cloud Computing

Computers

Web Browser

Computational Biology

Journal Article

OpenLB
Open Library of Bioscience