Your browser doesn't support javascript.
loading
Synthetic Biology Open Language (SBOL) Version 2.2.0.
Cox, Robert Sidney; Madsen, Curtis; McLaughlin, James Alastair; Nguyen, Tramy; Roehner, Nicholas; Bartley, Bryan; Beal, Jacob; Bissell, Michael; Choi, Kiri; Clancy, Kevin; Grünberg, Raik; Macklin, Chris; Misirli, Goksel; Oberortner, Ernst; Pocock, Matthew; Samineni, Meher; Zhang, Michael; Zhang, Zhen; Zundel, Zach; Gennari, John H; Myers, Chris; Sauro, Herbert; Wipat, Anil.
Afiliação
  • Cox RS; Prospect Bio, Brisbane, CA, USA.
  • Madsen C; Boston University, Boston, MA, USA.
  • McLaughlin JA; Newcastle University, Newcastle, United Kingdom of Great Britain and Northern Ireland.
  • Nguyen T; University of Utah, Salt Lake City, UT, USA.
  • Roehner N; Raytheon BBN Technologies, Cambridge, MA, USA.
  • Bartley B; University of Washington, Seattle, WA, USA.
  • Beal J; Raytheon BBN Technologies, Cambridge, MA, USA.
  • Bissell M; Amyris, Inc., Emeryville, CA, USA.
  • Choi K; University of Washington, Seattle, WA, USA.
  • Clancy K; ThermoFisher Scientific, San Diego, CA, USA.
  • Grünberg R; King Abdullah University for Science and Technology, Thuwal, Saudi Arabia.
  • Macklin C; Amyris, Inc., Emeryville, CA, USA.
  • Misirli G; Keele University, Keele, Staffordshire, United Kingdom of Great Britain and Northern Ireland.
  • Oberortner E; DOE Joint Genome Institute, Walnut Creek, CA, USA.
  • Pocock M; Turing Ate My Hamster LTD, Newcastle, UK.
  • Samineni M; University of Utah, Salt Lake City, UT, USA.
  • Zhang M; University of Utah, Salt Lake City, UT, USA.
  • Zhang Z; Utah State University, Logan, UT, USA.
  • Zundel Z; University of Utah, Salt Lake City, UT, USA.
  • Gennari JH; University of Washington, Seattle, WA, USA.
  • Myers C; University of Utah, Salt Lake City, UT, USA.
  • Sauro H; University of Washington, Seattle, WA, USA.
  • Wipat A; Newcastle University, Newcastle, United Kingdom of Great Britain and Northern Ireland.
J Integr Bioinform ; 15(1)2018 Apr 02.
Article em En | MEDLINE | ID: mdl-29605823
ABSTRACT
Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems would be to improve the exchange of information about designed systems between laboratories. 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, filling a need not satisfied by other pre-existing standards. This document details version 2.2.0 of SBOL that builds upon version 2.1.0 published in last year's JIB special issue. In particular, SBOL 2.2.0 includes improved description and validation rules for genetic design provenance, an extension to support combinatorial genetic designs, a new class to add non-SBOL data as attachments, a new class for genetic design implementations, and a description of a methodology to describe the entire design-build-test-learn cycle within the SBOL data model.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linguagens de Programação / Software / Biologia Sintética / Modelos Biológicos Tipo de estudo: Guideline / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linguagens de Programação / Software / Biologia Sintética / Modelos Biológicos Tipo de estudo: Guideline / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article