2017
DOI: 10.1049/enb.2017.0001
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Constructing synthetic biology workflows in the cloud

Abstract: 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 Internetbased 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 sing… Show more

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Cited by 9 publications
(4 citation statements)
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References 26 publications
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“…This is largely because experimental data are incredibly sparse. However, previously, this annotation data have been disparate, and impossible to search centrally ( 12 ).…”
Section: Workflowmentioning
confidence: 99%
“…This is largely because experimental data are incredibly sparse. However, previously, this annotation data have been disparate, and impossible to search centrally ( 12 ).…”
Section: Workflowmentioning
confidence: 99%
“…There is no currently agreed curriculum for the training of potential synthetic biologists, even as the community is developing standards for designing synthetic genetic circuits [12][13][14][15], data acquisition [16], incorporating metadata into designs [17,18], communicating designs between laboratories [19,20], and implementing the final designs in vivo [18,21,22].…”
Section: Introductionmentioning
confidence: 99%
“…A fundamental goal of synthetic biology is to make biological systems easier to engineer . As part of this endeavor, significant attention is being paid to the development of workflows that will assist researchers through the synthetic biology lifecycle. By drawing on concepts from engineering, an emphasis is placed on the design process through the use of basics such as standardization, reusability, abstraction, modularity, and predictability.…”
mentioning
confidence: 99%