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Synthetic biology open language (SBOL) version 3.0.0

Synthetic biology builds upon genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. When designing a synthetic system, synthetic biologists need to exchange information about multiple types of molecules, the intended behavior o...

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Autores principales: Baig, Hasan, Fontanarrosa, Pedro, Kulkarni, Vishwesh, McLaughlin, James Alastair, Vaidyanathan, Prashant, Bartley, Bryan, Beal, Jacob, Crowther, Matthew, Gorochowski, Thomas E., Grünberg, Raik, Misirli, Goksel, Scott-Brown, James, Oberortner, Ernst, Wipat, Anil, Myers, Chris J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756618/
https://www.ncbi.nlm.nih.gov/pubmed/32589605
http://dx.doi.org/10.1515/jib-2020-0017
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author Baig, Hasan
Fontanarrosa, Pedro
Kulkarni, Vishwesh
McLaughlin, James Alastair
Vaidyanathan, Prashant
Bartley, Bryan
Beal, Jacob
Crowther, Matthew
Gorochowski, Thomas E.
Grünberg, Raik
Misirli, Goksel
Scott-Brown, James
Oberortner, Ernst
Wipat, Anil
Myers, Chris J.
author_facet Baig, Hasan
Fontanarrosa, Pedro
Kulkarni, Vishwesh
McLaughlin, James Alastair
Vaidyanathan, Prashant
Bartley, Bryan
Beal, Jacob
Crowther, Matthew
Gorochowski, Thomas E.
Grünberg, Raik
Misirli, Goksel
Scott-Brown, James
Oberortner, Ernst
Wipat, Anil
Myers, Chris J.
author_sort Baig, Hasan
collection PubMed
description Synthetic biology builds upon genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. When designing a synthetic system, synthetic biologists need to exchange information about multiple types of molecules, the intended behavior of the system, and actual experimental measurements. The Synthetic Biology Open Language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, following an open community process involving both wet bench scientists and dry scientific modelers and software developers, across academia, industry, and other institutions. This document describes SBOL 3.0.0, which condenses and simplifies previous versions of SBOL based on experiences in deployment across a variety of scientific and industrial settings. In particular, SBOL 3.0.0, (1) separates sequence features from part/sub-part relationships, (2) renames Component Definition/Component to Component/Sub-Component, (3) merges Component and Module classes, (4) ensures consistency between data model and ontology terms, (5) extends the means to define and reference Sub-Components, (6) refines requirements on object URIs, (7) enables graph-based serialization, (8) moves Systems Biology Ontology (SBO) for Component types, (9) makes all sequence associations explicit, (10) makes interfaces explicit, (11) generalizes Sequence Constraints into a general structural Constraint class, and (12) expands the set of allowed constraints.
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spelling pubmed-77566182020-12-30 Synthetic biology open language (SBOL) version 3.0.0 Baig, Hasan Fontanarrosa, Pedro Kulkarni, Vishwesh McLaughlin, James Alastair Vaidyanathan, Prashant Bartley, Bryan Beal, Jacob Crowther, Matthew Gorochowski, Thomas E. Grünberg, Raik Misirli, Goksel Scott-Brown, James Oberortner, Ernst Wipat, Anil Myers, Chris J. J Integr Bioinform Article Synthetic biology builds upon genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. When designing a synthetic system, synthetic biologists need to exchange information about multiple types of molecules, the intended behavior of the system, and actual experimental measurements. The Synthetic Biology Open Language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, following an open community process involving both wet bench scientists and dry scientific modelers and software developers, across academia, industry, and other institutions. This document describes SBOL 3.0.0, which condenses and simplifies previous versions of SBOL based on experiences in deployment across a variety of scientific and industrial settings. In particular, SBOL 3.0.0, (1) separates sequence features from part/sub-part relationships, (2) renames Component Definition/Component to Component/Sub-Component, (3) merges Component and Module classes, (4) ensures consistency between data model and ontology terms, (5) extends the means to define and reference Sub-Components, (6) refines requirements on object URIs, (7) enables graph-based serialization, (8) moves Systems Biology Ontology (SBO) for Component types, (9) makes all sequence associations explicit, (10) makes interfaces explicit, (11) generalizes Sequence Constraints into a general structural Constraint class, and (12) expands the set of allowed constraints. De Gruyter 2020-06-25 /pmc/articles/PMC7756618/ /pubmed/32589605 http://dx.doi.org/10.1515/jib-2020-0017 Text en © 2020 Hasan Baig et al., published by De Gruyter, Berlin/Boston http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Article
Baig, Hasan
Fontanarrosa, Pedro
Kulkarni, Vishwesh
McLaughlin, James Alastair
Vaidyanathan, Prashant
Bartley, Bryan
Beal, Jacob
Crowther, Matthew
Gorochowski, Thomas E.
Grünberg, Raik
Misirli, Goksel
Scott-Brown, James
Oberortner, Ernst
Wipat, Anil
Myers, Chris J.
Synthetic biology open language (SBOL) version 3.0.0
title Synthetic biology open language (SBOL) version 3.0.0
title_full Synthetic biology open language (SBOL) version 3.0.0
title_fullStr Synthetic biology open language (SBOL) version 3.0.0
title_full_unstemmed Synthetic biology open language (SBOL) version 3.0.0
title_short Synthetic biology open language (SBOL) version 3.0.0
title_sort synthetic biology open language (sbol) version 3.0.0
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756618/
https://www.ncbi.nlm.nih.gov/pubmed/32589605
http://dx.doi.org/10.1515/jib-2020-0017
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