Conference item
An Open-source Azure Solution for Scalable Genomics Workflows
- Abstract:
- We present an open-source Azure solution for running scalable genomics workflows. It benefits from state-of-art distributed workflow framework, container and cloud technologies and allows users to create a cluster that is scaled to suit their workload in minutes. We describe the design decisions, solution testing and automation options to support a variety of users for their genomic data analytics. The solution demonstrates a generic and customizable approach to run genomic data analytics workflows on a cloud environment.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- 2018 IEEE World Congress on Services (SERVICES)
- Pages:
- 39-40
- Publication date:
- 2018-05-01
- Acceptance date:
- 2018-01-04
- Event title:
- 2018 IEEE World Congress on Services (SERVICES)
- Event location:
- San Francisco, CA, USA
- Event website:
- https://conferences.computer.org/services/2018/
- Event start date:
- 2018-07-02
- Event end date:
- 2018-07-07
- DOI:
- ISSN:
-
2378-3818
- ISBN:
- 9781538673744
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
951182
- Local pid:
- pubs:951182
- Deposit date:
- 2020-06-15
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2018
- Rights statement:
- © 2018 IEEE
- Notes:
- This is the accepted manuscript version of the article. The publisher's version is available online
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