DocumentCode
168750
Title
From Scripted HPC-Based NGS Pipelines to Workflows on the Cloud
Author
Cala, Jacek ; Yaobo Xu ; Wijaya, Eldarina Azfar ; Missier, Paolo
Author_Institution
Sch. of Comput. Sci., Newcastle Univ., Newcastle upon Tyne, UK
fYear
2014
fDate
26-29 May 2014
Firstpage
694
Lastpage
700
Abstract
In this paper we describe our initial experiences in the Cloud-e-Genome project with moving the whole exome sequencing pipeline from the scripted HPC-based solution to a workflow enactment system running in the cloud. We discuss shortcomings of the existing approach based on scripts and list benefits that a workflow-based solution can provide. Despite the effort it involved to wrap all required tools in the form of workflow blocks and the restrictions of the dataflow model used to represent workflows we expect the migration to significantly improve the current status of the pipeline. Our target is to enable flexibility, traceability and reproducibility of the solution, so that it can better fit the evolution of tools, data and pipeline itself and allow us to run it at national scale. This work will become foundation for the more complete system that includes variant filtering and interpretation for the diagnostic purposes.
Keywords
bioinformatics; cloud computing; data flow computing; genomics; Cloud-e-Genome project; dataflow model restrictions; exome sequencing pipeline; scripted HPC-based NGS pipelines; workflow blocks; workflow enactment system; Bioinformatics; Cloud computing; Computational modeling; Genomics; Libraries; Pipelines;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on
Conference_Location
Chicago, IL
Type
conf
DOI
10.1109/CCGrid.2014.128
Filename
6846521
Link To Document