Constructing synthetic biology workflows in the cloud
File(s)ENB.2017.0001.pdf (317.92 KB)
Published version
Author(s)
Type
Journal Article
Abstract
The synthetic biology design process has traditionally been heavily dependent upon manual searching, acquisition and integration of existing biological data. A large amount of such data is already available from Internet-based resources, but data exchange between these resources is often undertaken manually. Automating the communication between different resources can be done by the generation of computational workflows to achieve complex tasks that cannot be carried out easily or efficiently by a single resource. Computational workflows involve the passage of data from one resource, or process, to another in a distributed computing environment. In a typical bioinformatics workflow, the predefined order in which processes are invoked in a synchronous fashion and are described in a workflow definition document. However, in synthetic biology the diversity of resources and manufacturing tasks required favour a more flexible model for process execution. Here, the authors present the Protocol for Linking External Nodes (POLEN), a Cloud-based system that facilitates synthetic biology design workflows that operate asynchronously. Messages are used to notify POLEN resources of events in real time, and to log historical events such as the availability of new data, enabling networks of cooperation. POLEN can be used to coordinate the integration of different synthetic biology resources, to ensure consistency of information across distributed repositories through added support for data standards, and ultimately to facilitate the synthetic biology life cycle for designing and implementing biological systems.
Date Issued
2017-07-11
Date Acceptance
2017-06-12
Citation
Engineering Biology, 2017, 1 (1), pp.61-65
ISSN
2398-6182
Publisher
Institution of Engineering and Technology (IET)
Start Page
61
End Page
65
Journal / Book Title
Engineering Biology
Volume
1
Issue
1
Copyright Statement
© 2017 Institution of Engineering and Technology (IET). This is an open access article published by the IET under the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/3.0/)
Attribution License (http://creativecommons.org/licenses/by/3.0/)
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Biotechnology and Biological Sciences Research Council (BBSRC)
Grant Number
EP/L011573/1
EP/M006700/1
EP/M002187/1
BB/M025632/1
Publication Status
Published