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Nam-Phuong D. Nguyen

dblp:45/2853 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2009
0000-0002-3932-063XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › synthetic biology
genetic circuit design
0.112009
iBioSim: a tool for the analysis and design of genetic circuits · Bioinform. 2009
Bioinformatics and computational biology
synthetic biology
0.112009
iBioSim: a tool for the analysis and design of genetic circuits · Bioinform. 2009

Methods — techniques the papers use, named apart from their topics

simulation · 0.1model learning · 0.1
YearPublicationVenuePosition
2009 Genetic design automation
abstract
Electronic design automation (EDA) tools have facilitated the design of ever more complex integrated circuits each year. Synthetic biology would also benefit from the development of genetic design automation (GDA) tools. Existing GDA tools require biologists to design genetic circuits at the molecular level, roughly equivalent to designing electronic circuits at the layout level. Analysis of these circuits is also performed at this very low level. This paper presents the background and issues involved in the development of such a GDA tool for modeling, analysis, and design.
Chris J. Myers, Nathan A. Barker, Hiroyuki Kuwahara, Kevin R. Jones, Curtis Madsen, Nam-Phuong D. Nguyen
ICCAD6
2009 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. AVAILABILITY: iBioSim is available for download for Windows, Linux, and MacOS at http://www.async.ece.utah.edu/iBioSim/ CONTACT: [email protected].
Chris J. Myers, Nathan A. Barker, Kevin R. Jones, Hiroyuki Kuwahara, Curtis Madsen, Nam-Phuong D. Nguyen
Bioinform.6