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Brian Hartnett

dblp:65/4692 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Applied, 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 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › synthetic biology
genetic construct design
0.112007
A syntactic model to design and verify synthetic genetic constructs derived from standard biological parts · Bioinform. 2007
Bioinformatics and computational biology
synthetic biology
0.112007
A syntactic model to design and verify synthetic genetic constructs derived from standard biological parts · Bioinform. 2007

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

parsing algorithm · 0.1context-free grammar · 0.1
YearPublicationVenuePosition
2007 A syntactic model to design and verify synthetic genetic constructs derived from standard biological parts
abstract
MOTIVATION: The sequence of artificial genetic constructs is composed of multiple functional fragments, or genetic parts, involved in different molecular steps of gene expression mechanisms. Biologists have deciphered structural rules that the design of genetic constructs needs to follow in order to ensure a successful completion of the gene expression process, but these rules have not been formalized, making it challenging for non-specialists to benefit from the recent progress in gene synthesis. RESULTS: We show that context-free grammars (CFG) can formalize these design principles. This approach provides a path to organizing libraries of genetic parts according to their biological functions, which correspond to the syntactic categories of the CFG. It also provides a framework for the systematic design of new genetic constructs consistent with the design principles expressed in the CFG. Using parsing algorithms, this syntactic model enables the verification of existing constructs. We illustrate these possibilities by describing a CFG that generates the most common architectures of genetic constructs in Escherichia coli. AVAILABILITY: A web site allows readers to experiment with the algorithms presented in this article: www.genocad.org. SUPPLEMENTARY INFORMATION: Sequences and models are available at Bioinformatics online.
Yizhi Cai, Brian Hartnett, Claes Gustafsson, Jean Peccoud
Bioinform.2