Title
Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses.
Abstract
Due to the upcoming data deluge of genome data, the need for storing and processing large-scale genome data, easy access to biomedical analyses tools, efficient data sharing and retrieval has presented significant challenges. The variability in data volume results in variable computing and storage requirements, therefore biomedical researchers are pursuing more reliable, dynamic and convenient methods for conducting sequencing analyses. This paper proposes a Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses, which enables reliable and highly scalable execution of sequencing analyses workflows in a fully automated manner. Our platform extends the existing Galaxy workflow system by adding data management capabilities for transferring large quantities of data efficiently and reliably (via Globus Transfer), domain-specific analyses tools preconfigured for immediate use by researchers (via user-specific tools integration), automatic deployment on Cloud for on-demand resource allocation and pay-as-you-go pricing (via Globus Provision), a Cloud provisioning tool for auto-scaling (via HTCondor scheduler), and the support for validating the correctness of workflows (via semantic verification tools). Two bioinformatics workflow use cases as well as performance evaluation are presented to validate the feasibility of the proposed approach.
Year
DOI
Venue
2014
10.1016/j.jbi.2014.01.005
Journal of Biomedical Informatics
Keywords
Field
DocType
scientific workflow,bioinformatics,galaxy,sequencing analyses,cloud computing
Data mining,Workflow technology,Computer science,Data sharing,Bioinformatics,Workflow engine,Data management,Workflow,Workflow management system,Scalability,Cloud computing
Journal
Volume
Issue
ISSN
49
C
1532-0480
Citations 
PageRank 
References 
20
0.87
27
Authors
9
Name
Order
Citations
PageRank
Bo Liu114311.62
Ravi K. Madduri216614.81
Borja Sotomayor333333.39
Kyle Chard451556.70
Lukasz Lacinski51368.89
Utpal J Dave6200.87
Jianqiang Li715619.55
Chun-Chen Liu814412.91
Foster Ian9229382663.24