Literature DB >> 33104194

GalaxyCloudRunner: enhancing scalable computing for Galaxy.

Nuwan Goonasekera1, Alexandru Mahmoud2, John Chilton3, Enis Afgan2.   

Abstract

SUMMARY: The existence of more than 100 public Galaxy servers with service quotas is indicative of the need for an increased availability of compute resources for Galaxy to use. The GalaxyCloudRunner enables a Galaxy server to easily expand its available compute capacity by sending user jobs to cloud resources. User jobs are routed to the acquired resources based on a set of configurable rules and the resources can be dynamically acquired from any of four popular cloud providers (AWS, Azure, GCP or OpenStack) in an automated fashion.
AVAILABILITY AND IMPLEMENTATION: GalaxyCloudRunner is implemented in Python and leverages Docker containers. The source code is MIT licensed and available at https://github.com/cloudve/galaxycloudrunner. The documentation is available at http://gcr.cloudve.org/.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Year:  2021        PMID: 33104194      PMCID: PMC8289383          DOI: 10.1093/bioinformatics/btaa860

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

1.  Bioconda: sustainable and comprehensive software distribution for the life sciences.

Authors:  Björn Grüning; Ryan Dale; Andreas Sjödin; Brad A Chapman; Jillian Rowe; Christopher H Tomkins-Tinch; Renan Valieris; Johannes Köster
Journal:  Nat Methods       Date:  2018-07       Impact factor: 28.547

2.  Predicting runtimes of bioinformatics tools based on historical data: five years of Galaxy usage.

Authors:  Anastasia Tyryshkina; Nate Coraor; Anton Nekrutenko
Journal:  Bioinformatics       Date:  2019-09-15       Impact factor: 6.937

Review 3.  Cloud computing for genomic data analysis and collaboration.

Authors:  Ben Langmead; Abhinav Nellore
Journal:  Nat Rev Genet       Date:  2018-01-30       Impact factor: 53.242

4.  The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update.

Authors:  Enis Afgan; Dannon Baker; Bérénice Batut; Marius van den Beek; Dave Bouvier; Martin Cech; John Chilton; Dave Clements; Nate Coraor; Björn A Grüning; Aysam Guerler; Jennifer Hillman-Jackson; Saskia Hiltemann; Vahid Jalili; Helena Rasche; Nicola Soranzo; Jeremy Goecks; James Taylor; Anton Nekrutenko; Daniel Blankenberg
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

5.  Laniakea: an open solution to provide Galaxy "on-demand" instances over heterogeneous cloud infrastructures.

Authors:  Marco Antonio Tangaro; Giacinto Donvito; Marica Antonacci; Matteo Chiara; Pietro Mandreoli; Graziano Pesole; Federico Zambelli
Journal:  Gigascience       Date:  2020-04-01       Impact factor: 6.524

6.  Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud.

Authors:  Enis Afgan; Clare Sloggett; Nuwan Goonasekera; Igor Makunin; Derek Benson; Mark Crowe; Simon Gladman; Yousef Kowsar; Michael Pheasant; Ron Horst; Andrew Lonie
Journal:  PLoS One       Date:  2015-10-26       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.