iBioSim: A tool for the analysis and design of genetic circuits

Chris J. Myers; Nathan Barker; Kevin Jones; Hiroyuki Kuwahara; Curtis Madsen; Nam Phuong D. Nguyen

doi:10.1093/bioinformatics/btp457

iBioSim: A tool for the analysis and design of genetic circuits

Chris J. Myers^*, Nathan Barker, Kevin Jones, Hiroyuki Kuwahara, Curtis Madsen, Nam Phuong D. Nguyen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

85 Scopus citations

Abstract

Summary: iBioSim is a tool that supports learning of genetic circuit models, efficient abstraction-based analysis of these models and the design of synthetic genetic circuits. iBioSim includes project management features and a graphical user interface that facilitate the development and maintenance of genetic circuit models as well as both experimental and simulation data records.

Original language	English (US)
Pages (from-to)	2848-2849
Number of pages	2
Journal	Bioinformatics
Volume	25
Issue number	21
DOIs	https://doi.org/10.1093/bioinformatics/btp457
State	Published - 2009
Externally published	Yes

Bibliographical note

Funding Information:
Funding: National Science Foundation (Grants No. 0331270 and CCF07377655).

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btp457

Cite this

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title = "iBioSim: A tool for the analysis and design of genetic circuits",

abstract = "Summary: iBioSim is a tool that supports learning of genetic circuit models, efficient abstraction-based analysis of these models and the design of synthetic genetic circuits. iBioSim includes project management features and a graphical user interface that facilitate the development and maintenance of genetic circuit models as well as both experimental and simulation data records.",

author = "Myers, {Chris J.} and Nathan Barker and Kevin Jones and Hiroyuki Kuwahara and Curtis Madsen and Nguyen, {Nam Phuong D.}",

note = "Funding Information: Funding: National Science Foundation (Grants No. 0331270 and CCF07377655).",

year = "2009",

doi = "10.1093/bioinformatics/btp457",

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T2 - A tool for the analysis and design of genetic circuits

AU - Myers, Chris J.

AU - Barker, Nathan

AU - Jones, Kevin

AU - Kuwahara, Hiroyuki

AU - Madsen, Curtis

AU - Nguyen, Nam Phuong D.

N1 - Funding Information: Funding: National Science Foundation (Grants No. 0331270 and CCF07377655).

PY - 2009

Y1 - 2009

N2 - Summary: iBioSim is a tool that supports learning of genetic circuit models, efficient abstraction-based analysis of these models and the design of synthetic genetic circuits. iBioSim includes project management features and a graphical user interface that facilitate the development and maintenance of genetic circuit models as well as both experimental and simulation data records.

AB - Summary: iBioSim is a tool that supports learning of genetic circuit models, efficient abstraction-based analysis of these models and the design of synthetic genetic circuits. iBioSim includes project management features and a graphical user interface that facilitate the development and maintenance of genetic circuit models as well as both experimental and simulation data records.

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U2 - 10.1093/bioinformatics/btp457

DO - 10.1093/bioinformatics/btp457

M3 - Article

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EP - 2849

JO - Bioinformatics

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ER -

iBioSim: A tool for the analysis and design of genetic circuits

Abstract

Bibliographical note

ASJC Scopus subject areas

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