ShortBOL: A Language for Scripting Designs for Engineered Biological Systems Using Synthetic Biology Open Language (SBOL)

Matthew Crowther; Lewis Grozinger; Matthew Pocock; Christopher P D Taylor; James A McLaughlin; Göksel Mısırlı; Bryan A Bartley; Jacob Beal; Angel Goñi-Moreno; Anil Wipat

doi:10.1021/acssynbio.9b00470

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ShortBOL: A Language for Scripting Designs for Engineered Biological Systems Using Synthetic Biology Open Language (SBOL)

Journal article

Peer reviewed

ShortBOL: A Language for Scripting Designs for Engineered Biological Systems Using Synthetic Biology Open Language (SBOL)

Matthew Crowther, Lewis Grozinger, Matthew Pocock, Christopher P D Taylor, James A McLaughlin, Göksel Mısırlı, Bryan A Bartley, Jacob Beal, Angel Goñi-Moreno and Anil Wipat

ACS synthetic biology, Vol.9(4), pp.962-966

04/17/2020

DOI: 10.1021/acssynbio.9b00470

PMID: 32129980

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https://eprints.keele.ac.uk/7787/1/acssynbio.9b00470.pdfView

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Abstract

The Synthetic Biology Open Language (SBOL) is an emerging synthetic biology data exchange standard, designed primarily for unambiguous and efficient machine-to-machine communication. However, manual editing of SBOL is generally difficult for nontrivial designs. Here, we describe ShortBOL, a lightweight SBOL scripting language that bridges the gap between manual editing, visual design tools, and direct programming. ShortBOL is a shorthand textual language developed to enable users to create SBOL designs quickly and easily, without requiring strong programming skills or visual design tools.

Humans

Programming Languages

Synthetic Biology

Details

Title: Subtitle: ShortBOL: A Language for Scripting Designs for Engineered Biological Systems Using Synthetic Biology Open Language (SBOL)
Creators: Matthew Crowther - Newcastle University
Lewis Grozinger - Newcastle University
Matthew Pocock - Newcastle University
Christopher P D Taylor - Newcastle University
James A McLaughlin - Newcastle University
Göksel Mısırlı - Keele University
Bryan A Bartley - RTX (United States)
Jacob Beal - RTX (United States)
Angel Goñi-Moreno - UPM (Finland)
Anil Wipat - Newcastle University
Resource Type: Journal article
Publication Details: ACS synthetic biology, Vol.9(4), pp.962-966
DOI: 10.1021/acssynbio.9b00470
PMID: 32129980
NLM abbreviation: ACS Synth Biol
ISSN: 2161-5063
eISSN: 2161-5063
Language: English
Date published: 04/17/2020
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984627305202771

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