Galaxy cluster to cloud-Genomics at scale

The Galaxy Team

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Fueled by the radically increased capacity to generate data over the past decade, the field of biomedical research has been constrained by the ability to analyze data. Galaxy, an open genomics and biomedical research platform, has been democratizing access to data analysis tools with its effective and accessible web interface. However, the scale of data and the scope of tools required have proven to be a significant challenge for any monolithic deployment of the Galaxy application. We have found that a distributed and federated approach to utilizing compute and storage resources is necessary. This paper describes the ongoing efforts in creating a ubiquitous platform capable of simultaneously utilizing dedicated as well as on-demand cloud resources.

Original languageEnglish (US)
Title of host publicationProceedings of GCE 2014
Subtitle of host publication9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-50
Number of pages4
ISBN (Electronic)9781479970308
DOIs
StatePublished - Jan 23 2015
Event9th Gateway Computing Environments Workshop, GCE 2014 - New Orleans, United States
Duration: Nov 21 2014 → …

Publication series

NameProceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis

Other

Other9th Gateway Computing Environments Workshop, GCE 2014
CountryUnited States
CityNew Orleans
Period11/21/14 → …

Fingerprint

Galaxies
Genomics

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

The Galaxy Team (2015). Galaxy cluster to cloud-Genomics at scale. In Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 47-50). [7021850] (Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCE.2014.13
The Galaxy Team. / Galaxy cluster to cloud-Genomics at scale. Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 47-50 (Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis).
@inproceedings{791ff82e619147c6b0be89705dca1f8b,
title = "Galaxy cluster to cloud-Genomics at scale",
abstract = "Fueled by the radically increased capacity to generate data over the past decade, the field of biomedical research has been constrained by the ability to analyze data. Galaxy, an open genomics and biomedical research platform, has been democratizing access to data analysis tools with its effective and accessible web interface. However, the scale of data and the scope of tools required have proven to be a significant challenge for any monolithic deployment of the Galaxy application. We have found that a distributed and federated approach to utilizing compute and storage resources is necessary. This paper describes the ongoing efforts in creating a ubiquitous platform capable of simultaneously utilizing dedicated as well as on-demand cloud resources.",
author = "{The Galaxy Team} and Enis Afgan and Dannon Baker and Chilton, {John M.} and Nate Coraor and James Taylor",
year = "2015",
month = "1",
day = "23",
doi = "10.1109/GCE.2014.13",
language = "English (US)",
series = "Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "47--50",
booktitle = "Proceedings of GCE 2014",
address = "United States",

}

The Galaxy Team 2015, Galaxy cluster to cloud-Genomics at scale. in Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis., 7021850, Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis, Institute of Electrical and Electronics Engineers Inc., pp. 47-50, 9th Gateway Computing Environments Workshop, GCE 2014, New Orleans, United States, 11/21/14. https://doi.org/10.1109/GCE.2014.13

Galaxy cluster to cloud-Genomics at scale. / The Galaxy Team.

Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., 2015. p. 47-50 7021850 (Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Galaxy cluster to cloud-Genomics at scale

AU - The Galaxy Team

AU - Afgan, Enis

AU - Baker, Dannon

AU - Chilton, John M.

AU - Coraor, Nate

AU - Taylor, James

PY - 2015/1/23

Y1 - 2015/1/23

N2 - Fueled by the radically increased capacity to generate data over the past decade, the field of biomedical research has been constrained by the ability to analyze data. Galaxy, an open genomics and biomedical research platform, has been democratizing access to data analysis tools with its effective and accessible web interface. However, the scale of data and the scope of tools required have proven to be a significant challenge for any monolithic deployment of the Galaxy application. We have found that a distributed and federated approach to utilizing compute and storage resources is necessary. This paper describes the ongoing efforts in creating a ubiquitous platform capable of simultaneously utilizing dedicated as well as on-demand cloud resources.

AB - Fueled by the radically increased capacity to generate data over the past decade, the field of biomedical research has been constrained by the ability to analyze data. Galaxy, an open genomics and biomedical research platform, has been democratizing access to data analysis tools with its effective and accessible web interface. However, the scale of data and the scope of tools required have proven to be a significant challenge for any monolithic deployment of the Galaxy application. We have found that a distributed and federated approach to utilizing compute and storage resources is necessary. This paper describes the ongoing efforts in creating a ubiquitous platform capable of simultaneously utilizing dedicated as well as on-demand cloud resources.

UR - http://www.scopus.com/inward/record.url?scp=84963614556&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963614556&partnerID=8YFLogxK

U2 - 10.1109/GCE.2014.13

DO - 10.1109/GCE.2014.13

M3 - Conference contribution

AN - SCOPUS:84963614556

T3 - Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis

SP - 47

EP - 50

BT - Proceedings of GCE 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

The Galaxy Team. Galaxy cluster to cloud-Genomics at scale. In Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc. 2015. p. 47-50. 7021850. (Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis). https://doi.org/10.1109/GCE.2014.13